KR20220126084A - Photographing method of electronic apparatus and electronic apparatus thereof - Google Patents

Abstract

In an embodiment according to the present disclosure, a camera capable of setting a plurality of exposure values, a sensor sensing a photographing environment of the electronic device, and at least one processor electrically connected to the camera and the sensor, the at least one The processor of obtains information on the photographing environment through the sensor, sets two or more exposure values among the plurality of exposure values based on the obtained information on the photographing environment, and sets the set two or more exposure values Disclosed is an electronic device that acquires frames to which values are applied alternately and generates a video file based on the acquired frames. In addition to this, various embodiments identified through the specification are possible.

Description

A photographing method of an electronic device and an electronic device thereof

Various embodiments according to the present disclosure relate to a technique for setting a photographing condition based on a photographing environment in an electronic device having a camera capable of setting a plurality of exposure values.

Recently, a camera mode (hereinafter referred to as single take) that simultaneously shoots and saves photo and video content was introduced. Single take is a method of simultaneously taking photos and videos for a short period of time. However, there is a problem in that the exposure value cannot be changed in order to take photos and videos at the same time, so there is a limitation in that multi-frame synthesis techniques such as high dynamic range (HDR) cannot be applied to improve image quality.

However, with an auto exposure bracketing (AEB) camera, it is possible to acquire frames with a limited number of different exposure values. The multiple exposure image synthesis technique using an AEB camera is a technique for synthesizing one improved image using HDR after acquiring multiple images with different exposure amounts.

In the prior art, various methods for extracting a significant moment (key-frame) from a video have been tried. These techniques evaluate video frames based on esthetics such as motion, color, or composition included in the image, and store the frames that derive the best score as photos and recommend them to users.

However, since this method is a method of simply extracting one of the encoded video frames and saving it as a picture, there is a lot of difference in quality (sharpness and blur) from the result of shooting the same scene in photo mode. In addition, in order to detect a meaningful section of a video, it is necessary to decode an already encoded video to extract and analyze a high-cost feature from each frame, so there is a problem that requires a lot of resources.

The technical problems to be achieved in this document are not limited to the technical problems mentioned above, and other technical problems not mentioned can be clearly understood by those of ordinary skill in the art to which the present invention belongs from the description below. There will be.

An electronic device according to an embodiment includes a camera capable of setting a plurality of exposure values, a sensor detecting a photographing environment of the electronic device, and at least one processor electrically connected to the camera and the sensor, wherein the at least one The processor of obtains information on the photographing environment through the sensor, sets two or more exposure values among the plurality of exposure values based on the obtained information on the photographing environment, and sets the set two or more exposure values Frames to which values are alternately applied may be acquired, and a video file may be generated based on the acquired frames.

The method of operating an electronic device according to an embodiment includes an operation of obtaining information on a photographing environment using a sensor, an operation of setting two or more exposure values based on the obtained information on the photographing environment, and the set two The method may include an operation of acquiring frames to which one or more exposure values are alternately applied, and an operation of generating a video file based on the acquired frames.

An electronic device according to an embodiment includes a camera capable of setting a plurality of exposure values, a sensor detecting a photographing environment of the electronic device, and at least one processor electrically connected to the camera and the sensor, wherein the at least one The processor of obtains information on the photographing environment through the sensor, sets two or more exposure values among the plurality of exposure values based on the obtained information on the photographing environment, and sets the set two or more exposure values Frames to which values are alternately applied may be acquired, and a high dynamic range (HDR) image may be generated using the acquired frames.

According to the electronic device and method according to various embodiments of the present disclosure, it is possible to acquire high-quality photos and videos to which multi-frame synthesis is applied by shooting a single video.

1 is a block diagram of an electronic device according to an embodiment.
2 is a diagram illustrating software for photographing and correcting in an electronic device according to an exemplary embodiment.
3 is a flowchart illustrating an operation of photographing using a plurality of exposure values in an electronic device according to an exemplary embodiment.
4 is a flowchart illustrating an operation of performing a photographing by determining and storing a photographing condition in a first application in an electronic device, according to an exemplary embodiment.
5A is a flowchart illustrating an operation of generating final image content in a state in which a second application is executed in an electronic device according to an exemplary embodiment.
5A is a flowchart illustrating an operation of generating final image content in a state in which a second application is executed in an electronic device according to an exemplary embodiment.
6 is a block diagram of an electronic device in a network environment, according to an embodiment.
7 is a block diagram illustrating a camera module, according to an embodiment.
In connection with the description of the drawings, the same or similar reference numerals may be used for the same or similar components.

1 is a block diagram of an electronic device according to an embodiment.

Referring to FIG. 1 , the electronic device 100 may include a processor 110 , a camera 120 , a memory 130 , a display 140 , and/or a sensor 150 . In various embodiments, the electronic device 100 may include additional components in addition to the components illustrated in FIG. 1 , or may omit at least one of the components illustrated in FIG. 1 .

According to an embodiment, the processor 110 may execute an operation or data processing related to control and/or communication of at least one other component of the electronic device 100 using instructions stored in the memory 130 . According to an embodiment, the processor 110 includes a central processing unit (CPU), a graphic processing unit (GPU), a micro controller unit (MCU), a sensor hub, a supplementary processor, a communication processor, and an application. It may include at least one of a processor (application processor), application specific integrated circuit (ASIC), and field programmable gate arrays (FPGA), and may have a plurality of cores. For example, the processor 110 may include an application processor and/or an image signal processor operable independently or in conjunction with the application processor.

According to an embodiment, the processor 110 may execute an application stored in the memory 130 . According to an embodiment, the processor 110 may acquire a still image and/or a moving image by using the camera 120 while the first application (eg, a camera application) is running. have. According to an embodiment, the processor 110 may generate final image content or final image content by correcting an image and/or an image acquired by using a second application (eg, a single take service application).

According to an embodiment, the processor 110 may display an image acquired using the camera 120 as a preview image on the display 140 . According to an embodiment, the processor 110 may detect a photographing environment of the electronic device 100 using the sensor 150 . According to an embodiment, the processor 110 may use the sensor 150 to obtain information on at least one of a photographing location, ambient brightness of the electronic device 100 , and whether there is movement of the electronic device 100 . have. According to an embodiment, the processor 110 may set a shooting condition such as an exposure value of the camera 120 based on information obtained using the sensor 150 . Specific details related to the operation of the processor 110 will be described later with reference to FIG. 4 .

According to an embodiment, the camera 120 may acquire (or capture) an image (eg, a still image and/or a moving image). For example, an image signal processor (not shown) electrically connected to the camera 120 may distinguish an object (eg, a person) and a background included in an image (eg, a preview image or an image stored in the memory 130 ). can According to an embodiment, the image signal processor may be separated from the camera 120 or implemented as a part of the processor 110 . According to an embodiment, the camera 120 may include an image sensor. According to an embodiment, the image sensor may acquire and process color information.

According to an embodiment, the sensor 150 may include at least one of a depth sensor, a time of flight (ToF) sensor, an illuminance sensor, a gyroscope sensor, and an acceleration sensor. . According to an embodiment, the depth sensor may measure a depth of an external object and generate depth information corresponding to the external object using the measured depth. According to an embodiment, the illuminance sensor may detect the brightness (eg, lux) of the surrounding environment of the electronic device 100 . According to an embodiment, at least a portion of the sensor 150 (eg, a depth sensor, a ToF sensor, or an illuminance sensor) may be disposed at a distance adjacent to the camera 120 , or may be formed as a single module with the camera 120 . . According to an embodiment, the gyro sensor and the acceleration sensor may detect whether the electronic device 100 is moving. According to an embodiment, the sensor 150 is operatively connected to at least one of the processor 110 , the camera 120 , and the memory 130 to process color information, 3D information, distance information, or location information. can do

The display 140 according to an embodiment may display an image obtained through the camera 120 . According to an embodiment, the display 140 may display an image acquired through the camera 120 as a preview image. According to an embodiment, the electronic device 100 may obtain the user's input through the display 140 and transmit the user's input to the processor 110 .

According to an embodiment, the memory 130 may mean one or more memory sets. According to an embodiment, the memory 130 is received from or generated by other components (eg, the processor 110 , the camera 120 , the sensor 150 , or the display 140 ). stored data and/or commands. According to an embodiment, the memory 130 may store data acquired or generated by the camera application and the correction application.

2 is a diagram illustrating software for photographing and correcting in an electronic device according to an exemplary embodiment.

Referring to FIG. 2 , a first application (eg, a camera application) 200 of the electronic device 100 according to an embodiment includes a photographing environment determination unit 201 , a frame similarity and quality determination unit 202 , and a best image It may include a candidate extraction unit 203 or a camera control unit 204 . The second application 210 of the electronic device 100 according to an embodiment uses the multi-frame synthesis unit 211 , the best shot detection unit 212 , the AEB-HDR video synthesis unit 213 , or the event section detection unit 214 . may include In various embodiments, the electronic device 100 may include additional components in addition to the components illustrated in FIG. 2 or may omit at least one of the components illustrated in FIG. 2 . The configuration shown in FIG. 2 may not have to be implemented as physically separate hardware. In order to implement the components shown in FIG. 2 , the processor 110 of the electronic device 100 may execute an instruction (eg, instructions) stored in the memory 130 , and may execute hardware (eg, instructions) associated with the function. : The camera 120 and the display 140) can be controlled.

According to an embodiment, the shooting environment determination unit 201 may include an image (eg, landscape, person) and ambient brightness acquired through the camera 120 while the first application (eg, a camera application) 200 is running. The setting value of the AEB camera may be determined based on (illuminance) and/or information acquired through a sensor (eg, the sensor 150 of FIG. 1 ). For example, the set value may mean the quantity and range of exposure (EV) values to be applied to photographing.

According to an embodiment, the frame similarity and quality determining unit 202 is a structural similarity with a previous frame of a frame having an exposure value of 0 among frames to which a plurality of exposure values received from the AEB camera to which exposure bracketing is applied is applied. and quality (sharpness and blur).

According to an embodiment, the best image candidate extractor 203 may determine whether the candidate is a candidate to be extracted as the best photo based on a result of analyzing frames received from the AEB camera. According to an embodiment, when it is determined that the frame is a candidate to be extracted as the best photo, the best image candidate extraction unit 203 stores an index of the frame in a storage (eg, a photo candidate index temporary storage) to store the second application It can be analyzed in (210).

According to an embodiment, the camera controller 204 may control the overall operation of the camera 120 while the first application (eg, a camera application) 200 is running.

According to an embodiment, the multi-frame synthesizing unit 211 determines a frame synthesizing quantity (eg, N) according to the environmental conditions stored during shooting, and is first analyzed by the first application 200 and stored in the temporary storage. A high-quality photo (or image) can be created by synthesizing N frames around the frame index recorded in have. According to an embodiment, when frame synthesis fails, a frame used for synthesis may be excluded from the best shot candidate.

According to an embodiment, the best shot detection unit 212 may extract the best N pictures as the best shots by evaluating the pictures generated by the multi-frame synthesis unit 211 . According to an embodiment, the best shot detection unit 212 may determine the final best shot based on evaluation of structural similarity (redundancy), image quality, and/or aesthetics between front and rear frames of the synthesized pictures.

According to an embodiment, the best shot detection unit 212 calculates an image hash value for the synthesized images, and analyzes the similarity (eg, an image having a similar hash value) between consecutive frames before/after based on this, Frames with high similarity may be excluded from the final best shot. As another example, the best shot detection unit 212 calculates color information based on color information from the synthesized images and extracts an edge from the synthesized images or a semantic analysis based thereon and determines the shape of the edge. The similarity can be evaluated by comparison.

According to an embodiment, the best shot detector 212 may exclude a similar image from the final best shot according to the redundancy evaluation of the synthesized images.

According to an embodiment, the best shot detection unit 212 may exclude a designated image from the final best shot according to the esthetic evaluation of the synthesized images. For example, the best shot detection unit 212 calculates a composition score based on the composition of objects included in the image, and a clarity score calculated based on brightness, noise, or contrast of the image. , by recognizing the face of an object included in an image, detecting eyebrows, eyes, nose and/or mouth from them, and extracting color information from the expression score calculated based on this, and color information from the image, and the color calculated based on the color diversity Aesthetic evaluation may be performed based on at least one of a (colorfulness) score and a saturation score calculated based on exposure information of the image.

According to an embodiment, the AEB-HDR video synthesizing unit 213 may generate a high-quality video by applying HDR to an image captured by an AEB camera in which a plurality of exposure values are set. According to an embodiment, the AEB-HDR video synthesis unit 213 may use an AEB video shot at a high frame rate or an automatic frame rate. For example, the AEB video may mean a video whose brightness is periodically changed within an exposure value of a specified range. According to an embodiment, the AEB-HDR video synthesizing unit 213 may generate a video having an output of FPS equal to an input FPS (frames per second) by applying HDR based on all frames.

According to an embodiment, the event section detector 214 may analyze the amount of energy change in the video by using the motion vector of the P frame in the encoding operation after applying the HDR. According to an embodiment, the event section detector 214 may detect an event section based on a result of analyzing the amount of energy change in the video and tag the detected event information to the video. It is a flowchart illustrating an operation of photographing using a plurality of exposure values in an electronic device according to an example.

Referring to FIG. 3 , the processor 110 according to an embodiment may acquire information on the photographing environment through the sensor 150 in operation 310 . According to an embodiment, the processor 110 may display an image acquired using the camera 120 as a preview image on the display 140 . According to an embodiment, the processor 110 may analyze the preview image. According to an embodiment, the processor 110 may acquire scene information based on the preview image analysis. According to an embodiment, the processor 110 may acquire information on a location where the image was obtained based on the preview image analysis. For example, the processor 110 may determine whether the location where the image was obtained is indoors or outdoors, based on the preview image analysis.

According to an embodiment, the processor 110 transmits location information about a place (or a place where an image is acquired) where the current electronic device is currently located, which is acquired through the sensor 150 (eg, global positioning system (GPS)). Alternatively, as information for determining that it is indoors, it may be used as supplementary or alternative to the above-described scene information.

According to an embodiment, the processor 110 may detect a photographing environment using the sensor 150 . According to an embodiment, the processor 110 may measure the brightness (eg, an exposure value (EV) unit) of an external object by using an image sensor included in the camera 120 . According to an embodiment, the processor 110 may determine the brightness (eg, lux) around the electronic device 100 using an illuminance sensor. According to an embodiment, the processor 110 may determine whether there is a movement of the electronic device 100 using a gyro sensor and/or an acceleration sensor. For example, the processor 110 may determine whether the user is moving using a gyro sensor and/or an acceleration sensor.

According to an embodiment, the processor 110 may set two or more exposure values based on the information on the photographing environment obtained in operation 320 . According to an embodiment, the processor 110 may determine the exposure range of the AEB camera based on the acquired information on the shooting environment. According to an embodiment, the processor 110 may set two or more exposure values within the determined exposure range. According to an embodiment, the processor 110 may store an exposure condition (eg, an exposure range, an exposure value) determined based on information on the photographing environment in the memory 130 .

According to an embodiment, the processor 110 may acquire frames (or images) to which two or more exposure values set in operation 330 are alternately applied. According to an embodiment, the processor 110 may set the first exposure value and the second exposure value within a specified exposure range. According to an embodiment, the processor 110 may successively acquire a plurality of frames (or images) by alternately applying the first exposure value and the second exposure value.

According to an embodiment, the processor 110 may set three or more exposure values within a specified exposure range. According to an embodiment, the processor 110 may successively acquire a plurality of images by sequentially and repeatedly using three or more set exposure values.

According to an embodiment, the processor 110 may acquire frames to which two or more exposure values are applied during a specified shooting time. For example, the processor 110 may end the shooting when the shooting time specified by the user exceeds. According to an embodiment, the processor 110 may acquire frames to which two or more exposure values are applied until shooting is stopped. For example, the processor 110 may end photographing in response to detecting that the user's touch input to the photographing button is released. Also, for example, the processor 110 may end photographing in response to receiving an input corresponding to photographing completion.

According to an embodiment, the processor 110 may generate a video file based on the frames obtained in operation 340 . According to an embodiment, the processor 110 may generate a video file without compression based on all the acquired frames.

4 is a flowchart illustrating an operation of determining and storing a photographing condition in a first application (eg, a camera application) and performing photographing in an electronic device, according to an exemplary embodiment. The order of each operation in FIG. 4 is an example and is not limited thereto, and the order may be changed, some may be performed simultaneously, or some may be omitted.

Referring to FIG. 4 , the processor 110 according to an embodiment may determine a shooting condition in operation 401 and store the shooting condition. According to an embodiment, the processor 110 may set a shooting condition based on the surrounding environment sensed using the sensor 150 while the first application (eg, a camera application) 200 is running. According to an embodiment, the processor 110 may set a photographing condition based on information about at least one of a photographing location, ambient brightness of the electronic device 100 , and whether there is a movement of the electronic device 100 . For example, the shooting condition may include at least one of a range of exposure applied to the AEB camera, two or more exposure values, and the number of frames required for synthesis. According to an embodiment, the processor 110 may determine shooting parameters corresponding to the determined exposure value. For example, the shooting parameters may include at least one of a shutter speed, an aperture value, and a sensitivity.

According to an embodiment, the processor 110 may store the shooting condition in the memory 130 . For example, the processor 110 may store shooting conditions such as the range of exposure applied to the AEB camera, two or more exposure values, and the number of frames required for synthesis in the shooting environment data storage 440 .

According to an embodiment, the processor 110 may start photographing based on the determined and stored photographing conditions in operation 403 . According to an embodiment, the processor 110 may display a preview area displaying an image acquired through the camera 120 and/or a photographing button on the display 140 . According to an embodiment, the processor 110 may start photographing in response to detecting a user input for the photographing button. For example, the processor 110 may perform photographing for a specified time in response to detecting a user input (eg, a touch input) for the photographing button. As another example, the processor 110 may perform photographing from when a user input to the photographing button is detected until it is detected that the user input to the photographing button is released. Also, for example, the processor 110 may perform photographing from when a user input for the photographing button is detected until a user input for the completion button is detected.

According to an embodiment, the processor 110 may receive (or acquire) frames acquired through the camera 120 in operation 405 . According to an embodiment, the processor 110 may receive frames (or images) using the camera 120 based on the stored shooting conditions.

According to an embodiment, the processor 110 may receive frames using two or more exposure values determined within a specified exposure range. According to an embodiment, the processor 110 may acquire a plurality of frames (or images) by alternately using the two determined exposure values. According to an embodiment, the processor 110 may acquire a plurality of frames by sequentially and repeatedly using the determined three or more exposure values.

According to an embodiment, the processor 110 may determine whether the frame received in operation 407 is a frame to which an exposure value of 0 is applied. According to an embodiment, the processor 110 may determine at least one frame to which an exposure value of 0 is applied among frames to which a plurality of exposure values are applied.

According to an embodiment, when it is determined that the frame is a frame to which an exposure value of 0 is applied (operation 407 - 'Yes'), the processor 110 may analyze the frame in operation 413 . According to an embodiment, the processor 110 may analyze a portion in an image in which a color difference is large, such as a boundary between a subject and a background in which the subject is located in a frame to which an exposure value of 0 is applied. According to an embodiment, the processor 110 may determine whether blurring has occurred by analyzing the frame. Blurring refers to a phenomenon in which an image of a subject photographed through a lens is blurred according to the movement of the subject when the subject is photographed. According to an embodiment, the processor 110 may analyze a similarity between a frame to which an exposure value of 0 is applied and a frame obtained previously.

According to an embodiment, the processor 110 may determine whether the image analyzed in operation 415 satisfies a specified condition. According to an embodiment, the processor 110 may determine whether blurring has not occurred as a result of analyzing the frame to which the exposure value 0 is applied. According to an embodiment, the processor 110 may determine whether the similarity to at least one previously acquired frame is low as a result of analyzing the frame to which the exposure value 0 is applied.

According to an embodiment, the processor 110 may determine a frame determined to satisfy the condition specified in operation 417 as an index frame. According to an embodiment, when it is determined that blurring does not occur in the frame, the processor 110 may determine the frame as the index frame. According to an embodiment, when it is determined that the similarity to at least one previously acquired frame is low, the processor 110 may determine the frame as an index frame. According to an embodiment, the processor 110 may store the frames determined as the index frame in the photo candidate index temporary storage 430 .

According to an embodiment, the processor 110 may store the frames received in operation 409 as a frame buffer. For example, the processor 110 determines at least one frame that is not determined as a frame to which the exposure value 0 is applied (operation 407 - 'No') and at least one of the frames to which the exposure value 0 is applied does not satisfy the specified condition. One frame (operation 415 - 'No') and/or at least one frame determined as an index frame may be stored in the frame buffer. According to an embodiment, the processor 110 may generate the video file 420 based on the received frames. According to an embodiment, the video file 420 may be an uncompressed video file.

According to an embodiment, the processor 110 may determine whether photographing has ended in operation 411 . According to an embodiment, the processor 110 may determine that the photographing is finished when a specified time elapses after a user input (eg, a touch input) for the photographing button is sensed. As another example, when detecting that the user input to the photographing button is released after detecting the user input to the photographing button, the processor 110 may determine that photographing is finished. Also, for example, the processor 110 may perform photographing until a user input corresponding to a function for terminating photographing is detected.

According to an embodiment, the processor 110 may end the operation when it is determined that the photographing has ended. According to an embodiment, if it is determined that the photographing has not ended, the processor 110 may return to operation 405 to receive frames obtained from the camera 120 .

5A is a flowchart illustrating an operation of generating final image content (eg, best moment) while a second application (eg, a single take service application) 210 is executed in an electronic device according to an exemplary embodiment. The order of each operation in FIG. 5A is an example and is not limited thereto, and the order may be changed, some may be performed simultaneously, or some may be omitted.

Referring to FIG. 5A , the processor 110 according to an embodiment may determine a shooting condition in operation 501 . According to an embodiment, the processor 110 executes the second application 210 immediately after shooting is completed, after a specified time has elapsed after shooting starts, or at a specified time (eg, late-night time) to generate final image content. can

According to an embodiment, the processor 110 may determine the shooting condition determined by the first application 200 while the second application 210 is running. For example, the shooting condition may include at least one of a range of exposure applied to the AEB camera, two or more exposure values, and the number of frames required for synthesis.

According to an embodiment, in operation 503 , the processor 110 may determine a picture candidate index frame and determine the number of frames to be used for synthesis. According to an embodiment, the processor 110 may determine a picture candidate index frame from among frames stored in the picture candidate index temporary storage (eg, the picture candidate index temporary storage 430 of FIG. 4 ).

According to an embodiment, the processor 110 may determine the number of frames to be used for synthesis based on the sensed shooting environment and/or the determined shooting condition. According to an embodiment, the processor 110 selects a frame to be used for synthesis based on a photographing environment such as whether the photographing location is indoors, the brightness around the electronic device 100, and whether there is movement of the electronic device 100 . number can be determined.

According to an embodiment, the processor 110 determines the number of frames to be used for synthesis when it is determined that the brightness around the electronic device 100 is bright and/or when it is determined that the movement of the electronic device 100 is small. It can be decided by the 1st general. Also, for example, when it is determined that the brightness around the electronic device 100 is low and/or when it is determined that there is a lot of movement of the electronic device 100, the processor 110 controls the number of frames to be used for synthesis. It can be decided by the number of 2nd general more than 1 general.

According to an embodiment, the processor 110 may synthesize frames in operation 505 . According to an embodiment, when the processor 110 determines the number of frames (eg, N) required for compositing, a picture candidate index frame and a continuous sequence from a stored video file (eg, the video file 420 of FIG. 4 ) N frames can be extracted. According to an embodiment, the processor 110 may obtain a composite image using the extracted N frames.

According to an embodiment, the processor 110 may determine whether synthesizing of frames is successful in operation 507 . For example, the processor 110 may determine whether a composite image is generated based on N frames extracted from the video file 420 .

According to an embodiment, when it is determined that the synthesis of frames is successful (operation 507 - 'Yes'), in operation 509 , the processor 110 may determine whether the composite image satisfies a specified condition. According to an embodiment, the processor 110 may determine that the specified condition is satisfied when it is determined that the similarity between the synthesized image and the previously successfully synthesized image is low. According to an embodiment, when it is determined that the esthetic of the composite image is high, the processor 110 may determine that a specified condition is satisfied. For example, aesthetics may be evaluated based on information on at least one of a composition of a subject included in an image, a facial expression of a person included in the image, and color, brightness, and sharpness of the image.

According to an embodiment, when it is determined that the synthesized image satisfies the specified condition (operation 509 - 'Yes'), the processor 110 converts the synthesized image in operation 511 as final image content (eg, best moment). can be saved According to an embodiment, the processor 110 may determine the composite image as final image content when it is determined that the composite image has a low similarity (or overlap) with an image that has been previously synthesized. According to an embodiment, when it is determined that the esthetic of the composite image is high, the processor 110 may determine the composite image as the final image content. According to an embodiment, the processor 110 may store the determined final image content in the memory 130 .

According to an embodiment, the processor 110 may determine whether an object to be analyzed remains in operation 513 . According to an embodiment, the processor 110 may determine whether an object to be analyzed remains among the frames acquired and stored through the camera 120 . For example, the processor 110 may determine whether an object to be analyzed remains from the uncompressed video file 420 .

According to an embodiment, when it is determined that there is no object to be analyzed (operation 513 - 'No'), the processor 110 may end the operation. According to an embodiment, when it is determined that an object to be analyzed remains (operation 513 - 'Yes'), the processor 110 may return to operation 505 to synthesize the frame.

5B is a flowchart illustrating an operation of generating final image content (eg, an event section) in an electronic device according to an exemplary embodiment. The order of each operation in FIG. 5B is an example and is not limited thereto, and the order may be changed, some may be performed simultaneously, or some may be omitted.

Referring to FIG. 5B , the processor 110 according to an embodiment may determine a shooting condition in operation 502 . According to an embodiment, the processor 110 executes the second application 210 immediately after shooting is completed, after a specified time has elapsed after shooting starts, or at a specified time (eg, late-night time) to generate final image content. can

According to an embodiment, the processor 110 may determine the shooting condition determined by the first application 200 while the second application 210 is running. For example, the shooting condition may include at least one of a range of exposure applied to the AEB camera, two or more exposure values, and the number of frames required for synthesis.

According to an embodiment, the processor 110 may extract a video frame section and apply HDR in operation 504 . According to an embodiment, the processor 110 may extract a video frame section composed entirely of I frames from the video file 420 . According to an embodiment, the extracted video frame section may include a video frame section to which a specified exposure value is alternately applied. According to an embodiment, the processor 110 may apply multi-frame synthesis (eg, MFNR, HDR) to the extracted video frame section.

According to an embodiment, the processor 110 may encode the video frame section extracted in operation 506 . According to an embodiment, the processor 110 may encode a video frame section to which multi-frame synthesis is applied and store it in the memory 130 . According to an embodiment, the processor 110 may convert a video frame section to which multi-frame synthesis is applied into a specified compression method (eg, moving picture expert group (MPEG)).

According to an embodiment, the processor 110 may determine whether at least one frame included in the encoded image in operation 508 is a P frame. For example, the processor 110 may select at least one P frame from among frames included in an image converted by the MPEG method.

According to an embodiment, the processor 110 may determine whether the amount of change in the motion vector is equal to or greater than a reference value in operation 512 for the selected P frames (operation 508 - 'Yes'). According to an embodiment, the processor 110 may analyze the motion of the P frame by determining whether the amount of change in the motion vector of the P frame is equal to or greater than a threshold value.

According to an embodiment, when it is determined that the change amount of the motion vector of the P frame is less than the reference value (operation 512 - 'No'), the processor 110 may determine whether the event period has ended in operation 514 . For example, the processor 110 may determine whether the event period has ended by determining whether the amount of change in the motion vector of the P frame becomes 0.

According to an embodiment, when it is determined that the event period has ended (operations 514 - 'Yes'), the processor 110 may store the event period in operation 516 . According to an embodiment, the processor 110 may determine that the event period has ended when the amount of change in the motion vector of the P frame becomes 0. According to an embodiment, when it is determined that the event section has ended, the processor 110 may store the event section as final image content in the memory 130 .

According to an embodiment, the event section information stored as final image content in the memory 130 may include time information, scene information, length information, and/or speed information for a section in which the event occurs. For example, the event period information may include time information at a time point when the amount of change in the motion vector of the P frame is equal to or greater than a threshold value and when the amount of change in the motion vector of the P frame is less than a reference value. For example, the event section information may include scene information (eg, a scene category or scene attribute) (eg, a person jumping) including information on a subject and/or movement that moved in the event section. For example, the event section information may include section length information from a point in time when the amount of change in the motion vector of the P frame is equal to or greater than a threshold value to a point in time when the amount of change in the motion vector of the P frame is less than a reference value. For example, the event section information may include speed information such as an average speed and/or a maximum speed of a motion vector of a P frame within a section in which the event occurs.

According to an embodiment, the processor 110 may determine whether there is an object to be analyzed in operation 510 . According to an embodiment, the processor 110 may determine whether an object to be analyzed remains among the frames acquired and stored through the camera 120 . For example, the processor 110 may determine whether an object to be analyzed remains from the uncompressed video file 420 .

According to an embodiment, when it is determined that there is no object to be analyzed (operation 510 - 'No'), the processor 110 may end the operation. According to an embodiment, when it is determined that the subject to be analyzed remains (operation 510 - 'Yes'), the processor 110 returns to operation 504 to extract a video frame section and apply HDR to the extracted video frame section. have.

6 is a block diagram of an electronic device 601 (eg, the electronic device 100 of FIG. 1 ) in the network environment 600 according to an exemplary embodiment.

Referring to FIG. 6 , in a network environment 600 , the electronic device 601 communicates with the electronic device 602 through a first network 698 (eg, a short-range wireless communication network) or a second network 699 . It may communicate with at least one of the electronic device 604 and the server 608 through (eg, a remote wireless communication network). According to an embodiment, the electronic device 601 may communicate with the electronic device 604 through the server 608 . According to an embodiment, the electronic device 601 includes a processor 610 (eg, the processor 110 of FIG. 1 ), a memory 630 , an input module 650 , a sound output module 655 , and a display module 660 . ), audio module 670, sensor module 676, interface 677, connection terminal 678, haptic module 679, camera module 680, power management module 688, battery 689, communication module 690 , subscriber identification module 696 , or antenna module 697 . In some embodiments, at least one of these components (eg, the connection terminal 678 ) may be omitted or one or more other components may be added to the electronic device 601 . In some embodiments, some of these components (eg, sensor module 676 , camera module 680 , or antenna module 697 ) are integrated into one component (eg, display module 660 ). can be

The processor 620, for example, executes software (eg, a program 640) to execute at least one other component (eg, a hardware or software component) of the electronic device 601 connected to the processor 620 . It can control and perform various data processing or operations. According to one embodiment, as at least part of data processing or computation, the processor 620 converts commands or data received from other components (eg, the sensor module 676 or the communication module 690) to the volatile memory 632 . may store the command or data stored in the volatile memory 632 , and store the resulting data in the non-volatile memory 634 . According to an embodiment, the processor 620 is a main processor 621 (eg, a central processing unit or an application processor) or a secondary processor 623 (eg, a graphics processing unit, a neural network processing unit) a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor). For example, when the electronic device 601 includes a main processor 621 and a sub-processor 623 , the sub-processor 623 uses less power than the main processor 621 or is set to be specialized for a specified function. can The coprocessor 623 may be implemented separately from or as part of the main processor 621 .

The coprocessor 623 may, for example, act on behalf of the main processor 621 while the main processor 621 is in an inactive (eg, sleep) state, or when the main processor 621 is active (eg, executing an application). ), together with the main processor 621, at least one of the components of the electronic device 601 (eg, the display module 660, the sensor module 676, or the communication module 690) It is possible to control at least some of the related functions or states. According to one embodiment, coprocessor 623 (eg, image signal processor or communication processor) may be implemented as part of another functionally related component (eg, camera module 680 or communication module 690). have. According to an embodiment, the auxiliary processor 623 (eg, a neural network processing unit) may include a hardware structure specialized for processing an artificial intelligence model. Artificial intelligence models can be created through machine learning. Such learning may be performed, for example, in the electronic device 601 itself on which the artificial intelligence model is performed, or may be performed through a separate server (eg, the server 608). The learning algorithm may include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but in the above example not limited The artificial intelligence model may include a plurality of artificial neural network layers. Artificial neural networks include deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), restricted boltzmann machines (RBMs), deep belief networks (DBNs), bidirectional recurrent deep neural networks (BRDNNs), It may be one of deep Q-networks or a combination of two or more of the above, but is not limited to the above example. The artificial intelligence model may include, in addition to, or alternatively, a software structure in addition to the hardware structure.

The memory 630 may store various data used by at least one component (eg, the processor 620 or the sensor module 676 ) of the electronic device 601 . The data may include, for example, input data or output data for software (eg, the program 640 ) and instructions related thereto. The memory 630 may include a volatile memory 632 or a non-volatile memory 634 .

The program 640 may be stored as software in the memory 630 , and may include, for example, an operating system 642 , middleware 644 , or an application 646 .

The input module 650 may receive a command or data to be used in a component (eg, the processor 620 ) of the electronic device 601 from the outside (eg, a user) of the electronic device 601 . The input module 650 may include, for example, a microphone, a mouse, a keyboard, a key (eg, a button), or a digital pen (eg, a stylus pen).

The sound output module 655 may output a sound signal to the outside of the electronic device 601 . The sound output module 655 may include, for example, a speaker or a receiver. The speaker can be used for general purposes such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. According to one embodiment, the receiver may be implemented separately from or as part of the speaker.

The display module 660 may visually provide information to the outside (eg, a user) of the electronic device 601 . The display module 660 may include, for example, a control circuit for controlling a display, a hologram device, or a projector and a corresponding device. According to an embodiment, the display module 660 may include a touch sensor configured to sense a touch or a pressure sensor configured to measure the intensity of a force generated by the touch.

The audio module 670 may convert a sound into an electric signal or, conversely, convert an electric signal into a sound. According to an embodiment, the audio module 670 obtains a sound through the input module 650 , or an external electronic device (eg, a sound output module 655 ) connected directly or wirelessly with the electronic device 601 . The electronic device 602) (eg, a speaker or headphones) may output a sound.

The sensor module 676 detects an operating state (eg, power or temperature) of the electronic device 601 or an external environmental state (eg, a user state), and generates an electrical signal or data value corresponding to the sensed state. can do. According to an embodiment, the sensor module 676 may include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, It may include a temperature sensor, a humidity sensor, or an illuminance sensor.

The interface 677 may support one or more specified protocols that may be used for the electronic device 601 to directly or wirelessly connect with an external electronic device (eg, the electronic device 602 ). According to an embodiment, the interface 677 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

The connection terminal 678 may include a connector through which the electronic device 601 can be physically connected to an external electronic device (eg, the electronic device 602 ). According to an embodiment, the connection terminal 678 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (eg, a headphone connector).

The haptic module 679 may convert an electrical signal into a mechanical stimulus (eg, vibration or movement) or an electrical stimulus that the user can perceive through tactile or kinesthetic sense. According to an embodiment, the haptic module 679 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

The camera module 680 may capture still images and moving images. According to one embodiment, the camera module 680 may include one or more lenses, image sensors, image signal processors, or flashes.

The power management module 688 may manage power supplied to the electronic device 601 . According to an embodiment, the power management module 688 may be implemented as, for example, at least a part of a power management integrated circuit (PMIC).

The battery 689 may supply power to at least one component of the electronic device 601 . According to one embodiment, battery 689 may include, for example, a non-rechargeable primary cell, a rechargeable secondary cell, or a fuel cell.

The communication module 690 is a direct (eg, wired) communication channel or a wireless communication channel between the electronic device 601 and an external electronic device (eg, the electronic device 602 , the electronic device 604 , or the server 608 ). It can support establishment and communication performance through the established communication channel. The communication module 690 may include one or more communication processors that operate independently of the processor 620 (eg, an application processor) and support direct (eg, wired) communication or wireless communication. According to one embodiment, the communication module 690 is a wireless communication module 692 (eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 694 (eg, : It may include a local area network (LAN) communication module, or a power line communication module). A corresponding communication module among these communication modules is a first network 698 (eg, a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network 699 (eg, legacy). It may communicate with the external electronic device 604 through a cellular network, a 5G network, a next-generation communication network, the Internet, or a telecommunication network such as a computer network (eg, LAN or WAN). These various types of communication modules may be integrated into one component (eg, a single chip) or may be implemented as a plurality of components (eg, multiple chips) separate from each other. The wireless communication module 692 uses subscriber information (eg, International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 696 within a communication network, such as the first network 698 or the second network 699 . The electronic device 601 may be identified or authenticated.

The wireless communication module 692 may support a 5G network after a 4G network and a next-generation communication technology, for example, a new radio access technology (NR). NR access technology includes high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and access to multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency) -latency communications)). The wireless communication module 692 may support a high frequency band (eg, mmWave band) in order to achieve a high data rate, for example. The wireless communication module 692 uses various techniques for securing performance in a high frequency band, for example, beamforming, massive multiple-input and multiple-output (MIMO), all-dimensional multiplexing. It may support technologies such as full dimensional MIMO (FD-MIMO), an array antenna, analog beam-forming, or a large scale antenna. The wireless communication module 692 may support various requirements specified in the electronic device 601 , an external electronic device (eg, the electronic device 604 ), or a network system (eg, the second network 699 ). According to an embodiment, the wireless communication module 692 includes a peak data rate (eg, 20 Gbps or more) for realization of eMBB, loss coverage (eg, 164 dB or less) for realization of mMTC, or U-plane latency (for URLLC realization) ( Example: Downlink (DL) and uplink (UL) each 0.5 ms or less, or round trip 1 ms or less) can be supported.

The antenna module 697 may transmit or receive a signal or power to the outside (eg, an external electronic device). According to an embodiment, the antenna module 697 may include an antenna including a conductor formed on a substrate (eg, a PCB) or a radiator formed of a conductive pattern. According to an embodiment, the antenna module 697 may include a plurality of antennas (eg, an array antenna). In this case, at least one antenna suitable for a communication scheme used in a communication network such as the first network 698 or the second network 699 is connected from the plurality of antennas by, for example, the communication module 690 . can be selected. A signal or power may be transmitted or received between the communication module 690 and an external electronic device through the selected at least one antenna. According to some embodiments, other components (eg, a radio frequency integrated circuit (RFIC)) other than the radiator may be additionally formed as a part of the antenna module 697 .

According to various embodiments, the antenna module 697 may form a mmWave antenna module. According to one embodiment, the mmWave antenna module comprises a printed circuit board, an RFIC disposed on or adjacent to a first side (eg, bottom side) of the printed circuit board and capable of supporting a designated high frequency band (eg, mmWave band); and a plurality of antennas (eg, an array antenna) disposed on or adjacent to a second side (eg, top or side) of the printed circuit board and capable of transmitting or receiving signals of the designated high frequency band. can do.

At least some of the components are connected to each other through a communication method between peripheral devices (eg, a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)) and a signal ( e.g. commands or data) can be exchanged with each other.

According to an embodiment, the command or data may be transmitted or received between the electronic device 601 and the external electronic device 604 through the server 608 connected to the second network 699 . Each of the external electronic devices 602 and 1004 may be the same as or different from the electronic device 601 . According to an embodiment, all or part of the operations performed by the electronic device 601 may be executed by one or more external electronic devices 602 , 1004 , or 1008 . For example, when the electronic device 601 is to perform a function or service automatically or in response to a request from a user or other device, the electronic device 601 may perform the function or service itself instead of executing the function or service itself. Alternatively or additionally, one or more external electronic devices may be requested to perform at least a part of the function or the service. One or more external electronic devices that have received the request may execute at least a part of the requested function or service, or an additional function or service related to the request, and transmit a result of the execution to the electronic device 601 . The electronic device 601 may process the result as it is or additionally and provide it as at least a part of a response to the request. For this purpose, for example, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used. The electronic device 601 may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing. In another embodiment, the external electronic device 604 may include an Internet of things (IoT) device. Server 608 may be an intelligent server using machine learning and/or neural networks. According to an embodiment, the external electronic device 604 or the server 608 may be included in the second network 699 . The electronic device 601 may be applied to an intelligent service (eg, smart home, smart city, smart car, or health care) based on 5G communication technology and IoT-related technology.

The electronic device according to various embodiments disclosed in this document may have various types of devices. The electronic device may include, for example, a portable communication device (eg, a smart phone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance device. The electronic device according to the embodiment of the present document is not limited to the above-described devices.

The various embodiments of this document and terms used therein are not intended to limit the technical features described in this document to specific embodiments, but it should be understood to include various modifications, equivalents, or substitutions of the embodiments. In connection with the description of the drawings, like reference numerals may be used for similar or related components. The singular form of the noun corresponding to the item may include one or more of the item, unless the relevant context clearly dictates otherwise. As used herein, "A or B", "at least one of A and B", "at least one of A or B", "A, B or C", "at least one of A, B and C", and "A , B, or C," each of which may include any one of the items listed together in the corresponding one of the phrases, or all possible combinations thereof. Terms such as "first", "second", or "first" or "second" may simply be used to distinguish an element from other elements in question, and may refer elements to other aspects (e.g., importance or order) is not limited. It is said that one (eg, first) component is “coupled” or “connected” to another (eg, second) component, with or without the terms “functionally” or “communicatively”. When referenced, it means that one component can be connected to the other component directly (eg by wire), wirelessly, or through a third component.

The term “module” used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and is interchangeable with terms such as, for example, logic, logic block, component, or circuit. can be used as A module may be an integrally formed part or a minimum unit or a part of the part that performs one or more functions. For example, according to an embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

Various embodiments of the present document include one or more instructions stored in a storage medium (eg, internal memory 636 or external memory 638) readable by a machine (eg, electronic device 601). may be implemented as software (eg, the program 640) including For example, the processor (eg, the processor 620 ) of the device (eg, the electronic device 601 ) may call at least one command among one or more commands stored from a storage medium and execute it. This makes it possible for the device to be operated to perform at least one function according to the called at least one command. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' only means that the storage medium is a tangible device and does not contain a signal (eg, electromagnetic wave), and this term is used in cases where data is semi-permanently stored in the storage medium and It does not distinguish between temporary storage cases.

According to one embodiment, the method according to various embodiments disclosed in this document may be provided in a computer program product (computer program product). Computer program products may be traded between sellers and buyers as commodities. The computer program product is distributed in the form of a machine-readable storage medium (eg compact disc read only memory (CD-ROM)), or through an application store (eg Play Store™) or on two user devices ( It can be distributed (eg downloaded or uploaded) directly, online between smartphones (eg: smartphones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily created in a machine-readable storage medium such as a memory of a server of a manufacturer, a server of an application store, or a relay server.

According to various embodiments, each component (eg, a module or a program) of the above-described components may include a singular or a plurality of entities, and some of the plurality of entities may be separately disposed in other components. have. According to various embodiments, one or more components or operations among the above-described corresponding components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (eg, a module or a program) may be integrated into one component. In this case, the integrated component may perform one or more functions of each component of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. . According to various embodiments, operations performed by a module, program, or other component are executed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations are executed in a different order, or omitted. , or one or more other operations may be added.

7 is a block diagram 700 illustrating a camera module 680, in accordance with various embodiments. Referring to FIG. 7 , the camera module 680 includes a lens assembly 710 , a flash 720 , an image sensor 730 , an image stabilizer 740 , a memory 750 (eg, a buffer memory), or an image signal processor. (760). The lens assembly 710 may collect light emitted from a subject, which is an image to be captured. Lens assembly 710 may include one or more lenses. According to an embodiment, the camera module 680 may include a plurality of lens assemblies 710 . In this case, the camera module 680 may form, for example, a dual camera, a 360 degree camera, or a spherical camera. Some of the plurality of lens assemblies 710 may have the same lens properties (eg, angle of view, focal length, auto focus, f number, or optical zoom), or at least one lens assembly may be a different lens assembly. It may have one or more lens properties that are different from the lens properties of . The lens assembly 710 may include, for example, a wide-angle lens or a telephoto lens.

The flash 720 may emit light used to enhance light emitted or reflected from the subject. According to an embodiment, the flash 720 may include one or more light emitting diodes (eg, a red-green-blue (RGB) LED, a white LED, an infrared LED, or an ultraviolet LED), or a xenon lamp. The image sensor 730 may acquire an image corresponding to the subject by converting light emitted or reflected from the subject and transmitted through the lens assembly 710 into an electrical signal. According to an embodiment, the image sensor 730 may include, for example, one image sensor selected from among image sensors having different properties, such as an RGB sensor, a black and white (BW) sensor, an IR sensor, or a UV sensor, the same It may include a plurality of image sensors having properties, or a plurality of image sensors having different properties. Each image sensor included in the image sensor 730 may be implemented using, for example, a charged coupled device (CCD) sensor or a complementary metal oxide semiconductor (CMOS) sensor.

In response to the movement of the camera module 680 or the electronic device 601 including the same, the image stabilizer 740 moves at least one lens or the image sensor 730 included in the lens assembly 710 in a specific direction or Operation characteristics of the image sensor 730 may be controlled (eg, read-out timing may be adjusted, etc.). This makes it possible to compensate for at least some of the negative effects of the movement on the image being taken. According to an embodiment, the image stabilizer 740 is, according to an embodiment, the image stabilizer 740 is a gyro sensor (not shown) or an acceleration sensor (not shown) disposed inside or outside the camera module 680 . can be used to detect such a movement of the camera module 680 or the electronic device 601 . According to an embodiment, the image stabilizer 740 may be implemented as, for example, an optical image stabilizer. The memory 750 may temporarily store at least a portion of the image acquired through the image sensor 730 for a next image processing operation. For example, when image acquisition is delayed according to the shutter or a plurality of images are acquired at high speed, the acquired original image (eg, Bayer-patterned image or high-resolution image) is stored in the memory 750 and , a copy image corresponding thereto (eg, a low-resolution image) may be previewed through the display device 660 . Thereafter, when a specified condition is satisfied (eg, a user input or a system command), at least a portion of the original image stored in the memory 750 may be obtained and processed by, for example, the image signal processor 760 . According to an embodiment, the memory 750 may be configured as at least a part of the memory 630 or as a separate memory operated independently of the memory 630 .

The image signal processor 760 may perform one or more image processing on an image acquired through the image sensor 730 or an image stored in the memory 750 . The one or more image processes may include, for example, depth map generation, three-dimensional modeling, panorama generation, feature point extraction, image synthesis, or image compensation (eg, noise reduction, resolution adjustment, brightness adjustment, blurring ( blurring, sharpening, or softening. Additionally or alternatively, the image signal processor 760 may include at least one of the components included in the camera module 680 (eg, an image sensor). 730), for example, exposure time control, readout timing control, etc. The image processed by the image signal processor 760 is stored back in the memory 750 for further processing. or may be provided as an external component of the camera module 680 (eg, the memory 630 , the display device 660 , the electronic device 602 , the electronic device 604 , or the server 608 ). According to an example, the image signal processor 760 may be configured as at least a part of the processor 620 or as a separate processor operated independently of the processor 620. The image signal processor 760 may be configured as the processor 620 . and a separate processor, at least one image processed by the image signal processor 760 may be displayed through the display device 660 as it is by the processor 620 or after additional image processing.

According to an embodiment, the electronic device 601 may include a plurality of camera modules 680 each having different properties or functions. In this case, for example, at least one of the plurality of camera modules 680 may be a wide-angle camera, and at least the other may be a telephoto camera. Similarly, at least one of the plurality of camera modules 680 may be a front camera, and at least the other may be a rear camera.

As described above, the electronic device (eg, the electronic device 100 of FIG. 1 ) according to an embodiment is A camera capable of setting a plurality of exposure values (eg, the camera 120 of FIG. 1 ), a sensor that detects a photographing environment of the electronic device (eg, the sensor 150 of FIG. 1 ), the camera and the electrical connection with the sensor at least one processor (eg, the processor 110 of FIG. 1 ) connected to Set two or more exposure values among the plurality of exposure values based on can

According to an embodiment, the at least one processor may sense the photographing environment using at least one of an illuminance sensor, a gyroscope sensor, and an acceleration sensor.

According to an embodiment, the information on the photographing environment may include information on at least one of a photographing location, ambient brightness of the electronic device, and whether there is movement of the electronic device.

According to an embodiment, the at least one processor may determine at least one frame determined to satisfy a specified condition among the acquired frames as the index frame.

According to an embodiment, the at least one processor may determine, among the acquired frames, a frame having a sharpness equal to or greater than a threshold value and a frame having a similarity of less than a threshold value to a previously acquired frame as satisfying the specified condition. .

According to an embodiment, the at least one processor determines the number of frames to be used for synthesis among the acquired frames based on the information on the shooting environment, and continues with the index frame from the generated video file. The determined number of frames may be extracted, and a composite image may be obtained using the extracted frames.

According to an embodiment, the at least one processor may analyze at least one of composition, color, brightness, and similarity with a previously obtained composite image of the composite image, and generate final image content based on the analysis. have.

According to an embodiment, the at least one processor may acquire the composite image immediately after photographing is completed, after a predetermined time has elapsed after photographing starts, or when the electronic device is in a sleep mode.

As described above, in the method of operating an electronic device (eg, the electronic device 100 of FIG. 1 ) according to an embodiment, the operation of obtaining information on the photographing environment using a sensor, and the obtained information on the photographing environment may include an operation of setting two or more exposure values based on have.

According to an embodiment, the operation of acquiring information on the photographing environment may include an operation of detecting the photographing environment using at least one of an illuminance sensor, a gyro sensor, and an acceleration sensor.

According to an embodiment, the information on the photographing environment may include information on at least one of a photographing location, ambient brightness of the electronic device, and whether there is movement of the electronic device.

The method of operating an electronic device according to an embodiment may include determining, as an index frame, at least one frame determined to satisfy a specified condition among the acquired frames.

The method of operating an electronic device according to an embodiment includes determining, among the acquired frames, a frame having a sharpness equal to or greater than a threshold value and a frame having a similarity of less than a threshold value to a previously acquired frame as satisfying the specified condition. may include

The method of operating an electronic device according to an embodiment may include determining the number of frames to be used for synthesis among the acquired frames based on information on the photographing environment, and continuation with the index frame from the generated video file. It may include an operation of extracting the determined number of frames and an operation of obtaining a composite image using the extracted frames.

The method of operating an electronic device according to an embodiment includes an operation of analyzing at least one of a composition, color, brightness, and similarity with a previously obtained composite image of the composite image, and generating final image content based on the analysis. It can include actions.

As described above, the electronic device (eg, the electronic device 100 of FIG. 1 ) according to an embodiment includes a camera (eg, the camera 120 of FIG. 1 ) capable of setting a plurality of exposure values, and a sensor (eg, the sensor 150 of FIG. 1 ) for detecting a photographing environment, the camera, and at least one processor (eg, the processor 110 of FIG. 1 ) electrically connected to the sensor, wherein the at least one The processor obtains information on the photographing environment through the sensor, sets two or more exposure values among the plurality of exposure values based on the obtained information on the photographing environment, and sets the two or more exposure values The alternately applied frames may be acquired, and a high dynamic range (HDR) image may be generated using the acquired frames.

According to an embodiment, the at least one processor may sense the photographing environment using at least one of an illuminance sensor, a gyro sensor, and an acceleration sensor.

According to an embodiment, the information on the photographing environment may include information on at least one of a photographing location, ambient brightness of the electronic device, and whether there is movement of the electronic device.

According to an embodiment, the at least one processor may select a plurality of P frames from the generated HDR image, analyze motions of the P frames, and generate final image content based on the analysis.

According to an embodiment, the at least one processor may analyze the motion of the P frame by determining whether the amount of change in the motion vector of the P frames is less than a threshold value and whether the amount of change in the motion vector becomes 0. have.

Claims (20)

In an electronic device,
a camera capable of setting a plurality of exposure values;
a sensor for sensing a photographing environment of the electronic device;
At least one processor electrically connected to the camera and the sensor,
The at least one processor comprises:
Acquire information about the shooting environment through the sensor,
setting two or more exposure values among the plurality of exposure values based on the obtained information on the photographing environment;
Acquire frames to which the set two or more exposure values are alternately applied,
An electronic device that generates a video file based on the acquired frames. The method according to claim 1,
The at least one processor senses the photographing environment using at least one of an illuminance sensor, a gyroscope sensor, and an acceleration sensor. The method according to claim 1,
The information on the photographing environment includes information on at least one of a photographing location, ambient brightness of the electronic device, and whether there is movement of the electronic device. The method according to claim 1,
The at least one processor determines, as an index frame, at least one frame determined to satisfy a specified condition among the acquired frames. 5. The method according to claim 4,
and the at least one processor determines, among the acquired frames, a frame having a sharpness equal to or greater than a threshold value and a frame having a similarity of less than a threshold value to a previously acquired frame as satisfying the specified condition. 5. The method according to claim 4,
The at least one processor comprises:
determining the number of frames to be used for synthesis among the acquired frames based on the information on the shooting environment;
extracting the determined number of frames consecutive to the index frame from the generated video file;
An electronic device for obtaining a composite image by using the extracted frames. 7. The method of claim 6,
The at least one processor analyzes at least one of a composition, color, brightness, and similarity with a previously obtained composite image of the composite image, and generates final image content based on the analysis. 7. The method of claim 6,
The at least one processor acquires the composite image immediately after photographing is completed, after a specified time has elapsed after photographing starts, or when the electronic device is in a sleep mode. A method of operating an electronic device, comprising:
obtaining information on a photographing environment using a sensor;
setting two or more exposure values based on the acquired information on the photographing environment;
obtaining frames to which the set two or more exposure values are alternately applied;
and generating a video file based on the acquired frames. 10. The method of claim 9,
The operation of acquiring the information on the photographing environment includes sensing the photographing environment using at least one of an illuminance sensor, a gyro sensor, and an acceleration sensor. 10. The method of claim 9,
The method of operating an electronic device, wherein the information on the photographing environment includes information on at least one of a photographing location, ambient brightness of the electronic device, and whether there is a movement of the electronic device. 10. The method of claim 9,
and determining, as an index frame, at least one frame determined to satisfy a specified condition among the acquired frames. 13. The method of claim 12,
and determining, among the acquired frames, a frame having a sharpness greater than or equal to a threshold value and a frame having a similarity of less than a threshold value to a previously acquired frame as satisfying the specified condition. 13. The method of claim 12,
determining the number of frames to be used for synthesis among the acquired frames based on the information on the shooting environment;
extracting the determined number of frames consecutive to the index frame from the generated video file; and
and acquiring a composite image by using the extracted frames. 15. The method of claim 14,
and analyzing at least one of a composition, color, brightness, and similarity with a previously obtained composite image of the composite image, and generating final image content based on the analysis. In an electronic device,
a camera capable of setting a plurality of exposure values;
a sensor for sensing a photographing environment of the electronic device;
At least one processor electrically connected to the camera and the sensor,
The at least one processor comprises:
Acquire information about the shooting environment through the sensor,
setting two or more exposure values among the plurality of exposure values based on the obtained information on the photographing environment;
Acquire frames to which the set two or more exposure values are alternately applied,
An electronic device that generates a high dynamic range (HDR) image by using the acquired frames. 17. The method of claim 16,
The at least one processor is configured to sense the photographing environment using at least one of an illuminance sensor, a gyro sensor, and an acceleration sensor. 17. The method of claim 16,
The information on the photographing environment includes information on at least one of a photographing location, ambient brightness of the electronic device, and whether there is movement of the electronic device. 17. The method of claim 16,
The at least one processor selects a plurality of P frames from the generated HDR image, analyzes motions of the P frames, and generates final image content based on the analysis. 20. The method of claim 19,
The at least one processor analyzes the motion of the P frame by determining whether the amount of change in the motion vector of the P frames is less than a threshold value and whether the amount of change in the motion vector becomes 0.

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