Patent Publication Number: US-2023143688-A1

Title: Electronic device and method for automatically generating edited video

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS 
     This application is a continuation of International Application No. PCT/KR2022/017023, filed Nov. 2, 2022, designating the United States, in the Korean Intellectual Property Receiving Office, and claiming priority to Korean Patent Application No. 10-2021-0153433, filed on Nov. 9, 2021, in the Korean Intellectual Property Office, and to Korean Patent Application No. 10-2022-0017425, filed on Feb. 10, 2022, in the Korean Intellectual Property Office, the disclosures of which are all hereby incorporated by reference herein in their entireties. 
    
    
     BACKGROUND 
     Field 
     Various example embodiments relate to an electronic device and/or a method for automatically generating an edited video. 
     DESCRIPTION OF RELATED ART 
     An electronic device may take a video using a camera (e.g., a front camera or a rear camera) mounted in the electronic device. Recently, as a growing number of users have been taking a video using a camera of an electronic device and use the video as personal content, there has been a growing interest in video editing. 
     Generally, various applications or programs are being developed for video editing. However, to cross-edit a plurality of videos into a single video, a user needs to separately configure a time section in each video, adjust view angles, and designate an effect for each subject size or scene, and user inputs to configure these operations are required. 
     In particular, for a video into which a plurality of videos is cross-edited, an operation of smoothly joining the separate videos without a sense of disharmony as if being taken as a single video. However, this video editing technique has disadvantages in that the quality of a video depends on a person&#39;s editing ability, and users cannot easily generate a cross-edited video because a separate editing program is required. 
     SUMMARY 
     Various example embodiments provide a method for automatically generating a cross-edited video using a plurality of videos. 
     According to various example embodiments, an electronic device may include a touchscreen display, and a processor, wherein the processor may be configured to receive a first input to select a plurality of videos generated from at least two difference sources, perform video synchronization so that timelines of the plurality of selected videos coincide or substantially coincide, extract segmental clips selected, and/or identified in each section from the respective videos, based on a main subject selected by analyzing the plurality of videos, adjust different segmental clips so that subjects included in the different segmental clips are synchronized based on a segmental clip in a first section, automatically generate a cross-edited video at least by joining segmental clips of respective sections in which the subjects are synchronized, and display the cross-edited video on the touchscreen display. 
     According to various example embodiments, in a method for automatically generating a cross-edited video by an electronic device, the method may include displaying an edited video user interface screen, receiving a first input to select a plurality of videos generated from at least two difference sources through the edited video user interface screen, performing video synchronization so that timelines of the plurality of selected videos coincide or substantially coincide, extracting segmental clips selected and/or identified in each section from the respective videos, based on a main subject selected by analyzing the plurality of videos, adjusting different segmental clips so that subjects included in the different segmental clips are synchronized based on a segmental clip in a first section, automatically generating a cross-edited video at least by joining segmental clips of respective sections in which the subjects are synchronize, and display the cross-edited video on the edited video user interface screen. 
     According to various example embodiments, selected and/or identified segmental clips may be extracted from a plurality of videos by comparatively analyzing similarity between the videos with respect to a specific subject from the videos, an editing effect may be imparted to the segmental clips, and then the segmental clips may be joined and composed, thereby automatically generating a completely cross-edited video without a user separately performing an editing function. 
     According to various example embodiments, a cross-edited video may be generated only by an input to select a plurality of videos without a separate editing technique, thereby saving time required for editing and improving user convenience. 
    
    
     
       BRIEF DESCRIPTION OF DRAWINGS 
       The above and other aspects, features, and advantages of certain embodiments will be more apparent from the following detailed description, taken in conjunction with the accompanying drawings, in which: 
         FIG.  1    is a block diagram illustrating an electronic device in a network environment according to an example embodiment. 
         FIG.  2    illustrates a cross-edited video generation method of an electronic device according to various example embodiments. 
         FIG.  3    illustrates a cross-edited video generation method of an electronic device according to various example embodiments. 
         FIG.  4    illustrates a cross-edited video generation screen of an example electronic device. 
         FIGS.  5   a  and  5   b    illustrates examples of adjusting video synchronization of videos according to various example embodiments. 
         FIG.  6    illustrates examples of timestamps of segmental clips according to various example embodiments. 
         FIG.  7    illustrates a cross-edited video generation method of an electronic device according to various example embodiments. 
         FIG.  8    illustrates cross-edited video generation screens of an electronic device according to various example embodiments. 
         FIG.  9    illustrates examples of adjusting time synchronization of videos according to various example embodiments. 
     
    
    
     DETAILED DESCRIPTION 
     The electronic device according to various embodiments may be one of various types of electronic devices. The electronic devices may include, for example, a portable communication device (e.g., a smartphone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance. According to an example embodiment, the electronic devices are not limited to those described above. 
       FIG.  1    is a block diagram illustrating an electronic device in a network environment according to an example embodiment. 
     Referring to  FIG.  1   , the electronic device  101  in the network environment  100  may communicate with an electronic device  102  via a first network  198  (e.g., a short-range wireless communication network), or at least one of an electronic device  104  or a server  108  via a second network  199  (e.g., a long-range wireless communication network). According to an embodiment, the electronic device  101  may communicate with the electronic device  104  via the server  108 . According to an embodiment, the electronic device  101  may include a processor  120 , memory  130 , an input module  150 , a sound output module  155 , a display module  160 , an audio module  170 , a sensor module  176 , an interface  177 , a connecting terminal  178 , a haptic module  179 , a camera module  180 , a power management module  188 , a battery  189 , a communication module  190 , a subscriber identification module(SIM)  196 , or an antenna module  197 . In some embodiments, at least one of the components (e.g., the connecting terminal  178 ) may be omitted from the electronic device  101 , or one or more other components may be added in the electronic device  101 . In some embodiments, some of the components (e.g., the sensor module  176 , the camera module  180 , or the antenna module  197 ) may be implemented as a single component (e.g., the display module  160 ). 
     The processor  120  may execute, for example, software (e.g., a program  140 ) to control at least one other component (e.g., a hardware or software component) of the electronic device  101  coupled with the processor  120 , and may perform various data processing or computation. According to one embodiment, as at least part of the data processing or computation, the processor  120  may store a command or data received from another component (e.g., the sensor module  176  or the communication module  190 ) in volatile memory  132 , process the command or the data stored in the volatile memory  132 , and store resulting data in non-volatile memory  134  (which may comprise internal memory  136  and/or external memory  138 ). According to an embodiment, the processor  120  may include a main processor  121  (e.g., a central processing unit (CPU) or an application processor (AP)), or an auxiliary processor  123  (e.g., a graphics processing unit (GPU), a neural processing unit (NPU), an image signal processor (ISP), a sensor hub processor, or a communication processor (CP)) that is operable independently from, or in conjunction with, the main processor  121 . For example, when the electronic device  101  includes the main processor  121  and the auxiliary processor  123 , the auxiliary processor  123  may be adapted to consume less power than the main processor  121 , or to be specific to a specified function. The auxiliary processor  123  may be implemented as separate from, or as part of the main processor  121 . 
     The auxiliary processor  123  may control at least some of functions or states related to at least one component (e.g., the display module  160 , the sensor module  176 , or the communication module  190 ) among the components of the electronic device  101 , instead of the main processor  121  while the main processor  121  is in an inactive (e.g., sleep) state, or together with the main processor  121  while the main processor  121  is in an active state (e.g., executing an application). According to an embodiment, the auxiliary processor  123  (e.g., an image signal processor or a communication processor) may be implemented as part of another component (e.g., the camera module  180  or the communication module  190 ) functionally related to the auxiliary processor  123 . According to an embodiment, the auxiliary processor  123  (e.g., the neural processing unit) may include a hardware structure specified for artificial intelligence model processing. An artificial intelligence model may be generated by machine learning. Such learning may be performed, e.g., by the electronic device  101  where the artificial intelligence is performed or via a separate server (e.g., the server  108 ). Learning algorithms may include, but are not limited to, e.g., supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning. The artificial intelligence model may include a plurality of artificial neural network layers. The artificial neural network may be a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), deep Q-network or a combination of two or more thereof but is not limited thereto. The artificial intelligence model may, additionally or alternatively, include a software structure other than the hardware structure. 
     The memory  130  may store various data used by at least one component (e.g., the processor  120  or the sensor module  176 ) of the electronic device  101 . The various data may include, for example, software (e.g., the program  140 ) and input data or output data for a command related thereto. The memory  130  may include the volatile memory  132  or the non-volatile memory  134 . 
     The program  140  may be stored in the memory  130  as software, and may include, for example, an operating system (OS)  142 , middleware  144 , or an application  146 . 
     The input module  150  may receive a command or data to be used by another component (e.g., the processor  120 ) of the electronic device  101 , from the outside (e.g., a user) of the electronic device  101 . The input module  150  may include, for example, a microphone, a mouse, a keyboard, a key (e.g., a button), or a digital pen (e.g., a stylus pen). 
     The sound output module  155  may output sound signals to the outside of the electronic device  101 . The sound output module  155  may include, for example, a speaker or a receiver. The speaker may be used for general purposes, such as playing multimedia or playing record. The receiver may be used for receiving incoming calls. According to an embodiment, the receiver may be implemented as separate from, or as part of the speaker. 
     The display module  160  may visually provide information to the outside (e.g., a user) of the electronic device  101 . The display module  160  may include, for example, a display, a hologram device, or a projector and control circuitry to control a corresponding one of the display, hologram device, and projector. According to an embodiment, the display module  160  may include a touch sensor adapted to detect a touch, or a pressure sensor adapted to measure the intensity of force incurred by the touch. 
     The audio module  170  may convert a sound into an electrical signal and vice versa. According to an embodiment, the audio module  170  may obtain the sound via the input module  150 , or output the sound via the sound output module  155  or a headphone of an external electronic device (e.g., an electronic device  102 ) directly (e.g., wiredly) or wirelessly coupled with the electronic device  101 . 
     The sensor module  176  may detect an operational state (e.g., power or temperature) of the electronic device  101  or an environmental state (e.g., a state of a user) external to the electronic device  101 , and then generate an electrical signal or data value corresponding to the detected state. According to an embodiment, the sensor module  176  may include, for example, a gesture sensor, a gyro sensor, an atmospheric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an infrared (IR) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor. 
     The interface  177  may support one or more specified protocols to be used for the electronic device  101  to be coupled with the external electronic device (e.g., the electronic device  102 ) directly (e.g., wiredly) or wirelessly. According to an embodiment, the interface  177  may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, a secure digital (SD) card interface, or an audio interface. 
     A connecting terminal  178  may include a connector via which the electronic device  101  may be physically connected with the external electronic device (e.g., the electronic device  102 ). According to an embodiment, the connecting terminal  178  may include, for example, a HDMI connector, a USB connector, a SD card connector, or an audio connector (e.g., a headphone connector. 
     The haptic module  179  may convert an electrical signal into a mechanical stimulus (e.g., a vibration or a movement) or electrical stimulus which may be recognized by a user via his tactile sensation or kinesthetic sensation. According to an embodiment, the haptic module  179  may include, for example, a motor, a piezoelectric element, or an electric stimulator. 
     The camera module  180  may capture a still image or moving images. According to an embodiment, the camera module  180  may include one or more lenses, image sensors, image signal processors, or flashes. 
     The power management module  188  may manage power supplied to the electronic device  101 . According to one embodiment, the power management module  188  may be implemented as at least part of, for example, a power management integrated circuit (PMIC). 
     The battery  189  may supply power to at least one component of the electronic device  101 . According to an embodiment, the battery  189  may include, for example, a primary cell which is not rechargeable, a secondary cell which is rechargeable, or a fuel cell. 
     The communication module  190  may support establishing a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device  101  and the external electronic device (e.g., the electronic device  102 , the electronic device  104 , or the server  108 ) and performing communication via the established communication channel. The communication module  190  may include one or more communication processors that are operable independently from the processor  120  (e.g., the application processor (AP)) and supports a direct (e.g., wired) communication or a wireless communication. According to an embodiment, the communication module  190  may include a wireless communication module  192  (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module  194  (e.g., a local area network (LAN) communication module or a power line communication (PLC) module). A corresponding one of these communication modules may communicate with the external electronic device via the first network  198  (e.g., a short-range communication network, such as Bluetooth™, wireless-fidelity (Wi-Fi) direct, or infrared data association (IrDA)) or the second network  199  (e.g., a long-range communication network, such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., LAN or wide area network (WAN)). These various types of communication modules may be implemented as a single component (e.g., a single chip), or may be implemented as multi components (e.g., multi chips) separate from each other. The wireless communication module  192  may identify and authenticate the electronic device  101  in a communication network, such as the first network  198  or the second network  199 , using subscriber information (e.g., international mobile subscriber identity (IMSI)) stored in the subscriber identification module  196 . 
     The wireless communication module  192  may support a 5G network, after a 4G network, and next-generation communication technology, e.g., new radio (NR) access technology. The NR access technology may support enhanced mobile broadband (eMBB), massive machine type communications (mMTC), or ultra-reliable and low-latency communications (URLLC). The wireless communication module  192  may support a high-frequency band (e.g., the mmWave band) to achieve, e.g., a high data transmission rate. The wireless communication module  192  may support various technologies for securing performance on a high-frequency band, such as, e.g., beamforming, massive multiple-input and multiple-output (massive MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module  192  may support various requirements specified in the electronic device  101 , an external electronic device (e.g., the electronic device  104 ), or a network system (e.g., the second network  199 ). According to an embodiment, the wireless communication module  192  may support a peak data rate (e.g., 20 Gbps or more) for implementing eMBB, loss coverage (e.g., 164 dB or less) for implementing mMTC, or U-plane latency (e.g., 0.5 ms or less for each of downlink (DL) and uplink (UL), or a round trip of 1 ms or less) for implementing URLLC. 
     The antenna module  197  may transmit or receive a signal or power to or from the outside (e.g., the external electronic device) of the electronic device  101 . According to an embodiment, the antenna module  197  may include an antenna including a radiating element composed of a conductive material or a conductive pattern formed in or on a substrate (e.g., a printed circuit board (PCB)). According to an embodiment, the antenna module  197  may include a plurality of antennas (e.g., array antennas). In such a case, at least one antenna appropriate for a communication scheme used in the communication network, such as the first network  198  or the second network  199 , may be selected, for example, by the communication module  190  (e.g., the wireless communication module  192 ) from the plurality of antennas. The signal or the power may then be transmitted or received between the communication module  190  and the external electronic device via the selected at least one antenna. According to an embodiment, another component (e.g., a radio frequency integrated circuit (RFIC)) other than the radiating element may be additionally formed as part of the antenna module  197 . 
     According to various embodiments, the antenna module  197  may form a mmWave antenna module. According to an embodiment, the mmWave antenna module may include a printed circuit board, a RFIC disposed on a first surface (e.g., the bottom surface) of the printed circuit board, or adjacent to the first surface and capable of supporting a designated high-frequency band (e.g., the mmWave band), and a plurality of antennas (e.g., array antennas) disposed on a second surface (e.g., the top or a side surface) of the printed circuit board, or adjacent to the second surface and capable of transmitting or receiving signals of the designated high-frequency band. 
     At least some of the above-described components may be coupled mutually and communicate signals (e.g., commands or data) therebetween via an inter-peripheral communication scheme (e.g., a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)). 
     According to an embodiment, commands or data may be transmitted or received between the electronic device  101  and the external electronic device  104  via the server  108  coupled with the second network  199 . Each of the electronic devices  102  or  104  may be a device of a same type as, or a different type, from the electronic device  101 . According to an embodiment, all or some of operations to be executed at the electronic device  101  may be executed at one or more of the external electronic devices  102 ,  104 , or  108 . For example, if the electronic device  101  should perform a function or a service automatically, or in response to a request from a user or another device, the electronic device  101 , instead of, or in addition to, executing the function or the service, may request the one or more external electronic devices to perform at least part of the function or the service. The one or more external electronic devices receiving the request may perform the at least part of the function or the service requested, or an additional function or an additional service related to the request, and transfer an outcome of the performing to the electronic device  101 . The electronic device  101  may provide the outcome, with or without further processing of the outcome, as at least part of a reply to the request. To that end, a cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used, for example. The electronic device  101  may provide ultra low-latency services using, e.g., distributed computing or mobile edge computing. In another embodiment, the external electronic device  104  may include an internet-of-things (loT) device. The server  108  may be an intelligent server using machine learning and/or a neural network. According to an embodiment, the external electronic device  104  or the server  108  may be included in the second network  199 . The electronic device  101  may be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology or loT-related technology. 
     Functions or operations described below may be understood as functions performed by a processor  120  of an electronic device  101 . The processor  120  may execute commands (e.g., instructions) stored in a memory  130  to implement a software module, and may control hardware (e.g., a display module  160  comprising a display, and/or a communication module  190  comprising communication circuitry) associated with the functions. In some embodiments, the operations may be sequentially performed, but is not necessarily performed sequentially. For example, the order of the operations may be changed, and at least two operations may be performed in parallel. 
     An electronic device  101  according to various embodiments may include a touchscreen display (e.g., the display module  160 , comprising a display, of  FIG.  1   ) and a processor (e.g., the processor  120  of  FIG.  1   ), wherein the processor  120  may be configured to receive a first input to select a plurality of videos generated from at least two difference sources, perform video synchronization so that timelines of the plurality of selected videos coincide or substantially coincide, extract segmental clips selected by recommending and/or identified in each section from the respective videos, based on a main subject selected by analyzing the plurality of videos, adjust different segmental clips so that subjects included in the different segmental clips are synchronized based on a segmental clip in a first section, automatically generate a cross-edited video at least by joining segmental clips of respective sections in which the subjects are synchronized, and display the cross-edited video on the touchscreen display. 
     The processor  120  according to various embodiments may be configured to display a video editing user interface screen on the touchscreen display in response to a video editing function execution request, and the video editing user interface screen may include a first area displaying the plurality of videos, a second area displaying the cross-edited video, a third area displaying the timelines and/or timestamps of the videos, and a cross-edited video generation item. 
     The processor  120  according to various embodiments may be configured to control the touchscreen display to display the plurality of videos selected by the first input in the first area of the video editing user interface screen, receive a second input to select a main video from among the plurality of videos, and identify a characteristic pattern in the main video by analyzing the selected main video to determine an editing theme, based on the characteristic pattern. 
     The characteristic pattern according to various embodiments may include at least one of a subject face feature, a subject behavior feature, an audio feature, and a camera moving feature. 
     The processor  120  according to various embodiments may be configured to automatically perform at least one of unnecessary noise section deletion and video color correction for each selected video before extracting the segmental clips. 
     The processor  120  according to various embodiments may be configured to perform the video synchronization, based on feature points included in an audio signal of each video. 
     The processor  120  according to various embodiments may be configured to designate a candidate point at and/or proximate a midpoint between a first feature point and a second feature point of the audio signal for each video, a first section between the first feature point and the candidate point, and a second section between the candidate point and the second feature point, and extract the recommended(or selected) and/or identified segmental clips by comparing image frames corresponding to the first feature point, the second feature point, and the candidate point designated for each video signal to analyze similarity between the image frames and cropping part of one recommended(or selected) and/or identified video for each section among the videos. 
     The processor  120  according to various embodiments may be configured to select the main subject, based on the image frames corresponding to the first feature point, the second feature point, and the candidate point, or designate a subject selected by a user input as the main subject, and at least one of a subject equally exposed at the first feature point, the second feature point, and the candidate point, a subject displayed most in the videos, and a subject positioned at a center of a screen in the videos may be selected as the main subject. 
     The processor  120  according to various embodiments may be configured to recommend and extract a second segmental clip from a video having similarity in the main subject, based on a first segmental clip including the main subject. 
     The processor  120  according to various embodiments may be configured to identify data about a crop size, a crop direction, rotation, and a video ratio, and perform subject synchronization on each segmental clip, based on the identified data, so that feature points of the main subject included in the first segmental clip and the second segmental clip are similar. 
     The processor  120  according to various embodiments may be configured to automatically impart a scene change effect between the segmental clips, and the scene change effect may include at least one of a cut effect, a dissolve effect, and a fade effect. 
     When the video synchronization is unable to be performed based on the audio signal, the processor  120  according to various embodiments may be further configured to extract a motion vector according to a movement of an object included in each video, and perform time synchronization according to a video signal based on the motion vector. 
       FIG.  2    illustrates a cross-edited video generation method of an electronic device according to various embodiments. 
     Referring to  FIG.  2   , according to an embodiment, a processor (e.g., the processor  120  of  FIG.  1   , comprising processing circuitry) of the electronic device  101  may receive a first input to import a plurality of videos (hereinafter, referred to as base videos) in operation  210 . Here, a base video is referred to only for convenience of description, and may refer to a video captured by a camera of the electronic device  101 , a video provided online, a video stored in the electronic device  101 , or a video stored in a server. 
     For example, when a video editing function is executed, the electronic device  101  may support a function of importing and displaying a plurality of base videos through a video editing user interface (UI) screen displayed on a display. 
     In operation  220 , the processor  120  may receive a second input to select a main video from among the imported videos (e.g., the base videos). 
     According to an embodiment, the processor  120  may provide a pointer (or a marker or an indicator) supporting selection of a main video on the video editing UI screen, and may designate a base video imported into an area where the pointer is positioned according to a user input among the base videos as the main video. 
     According to another embodiment, the electronic device  101  may support a function of designating a base image imported into a specific area designated on the video editing UI screen as the main video. 
     According to an embodiment, the electronic device  101  may support a function of changing the main video to change an editing theme after designating the main video. 
     According to an embodiment, the processor  120  may generate a cross-edited video (or an after video), based on the playback length of an audio signal included in the main video, and may designate the audio signal to be used for the cross-edited video. For example, the processor  120  may generate one cross-edited video by joining segmental clips, based on the audio signal included in the main video. 
     According to an embodiment, the processor  120  may determine an editing theme, based on the selected main video. For example, the processor  120  may analyze the main video to extract a characteristic pattern element (e.g., a person feature, a behavior pattern, an audio feature, and a camera moving feature) in the main video, and may determine an editing theme, based on the extracted pattern element. For example, when the main video is a video in which a specific person is singing on a stage, the processor  120  may determine audio and the specific person as an editing theme. 
     According to an embodiment, the processor  120  may predict a characteristic pattern element in the main video using a deep learning engine, and may determine an editing theme based on the characteristic pattern element. 
     According to an embodiment, the electronic device  101  may support an option function of selecting an editing theme (e.g., a person similarity-oriented theme, a background similarity-oriented theme, a camera moving-oriented theme, a stage similarity-oriented theme) according to a user input after selecting the main video, and an editing theme may be configured by a user. 
     According to an embodiment, the electronic device  101  may automatically perform video size adjustment (deletion of an unnecessary section of a video) and video color correction (adjusting color distortion and white balance using a color correction algorithm) separately on each of the plurality of imported base videos, and these processes may be omitted. 
     According to another embodiment, the electronic device  101  may include a user option function of performing video size adjustment or video color correction according to a user request separately for each of the plurality of imported base videos. 
     In operation  230 , the processor  120  may synchronize the videos so that timelines of the videos (e.g., base videos) coincide or substantially coincide. 
     According to an embodiment, the processor  120  may designate an audio signal of a first video (e.g., the main video) as a reference among the base videos as a main audio signal, and may synchronize the videos by excluding audio signals of other videos. 
     According to an embodiment, the processor  120  may synchronize the videos by matching feature points of the other videos (e.g., a second video, a third video, ..., an Nth video) to coincide according to a feature point (e.g., a high/low change point) of a timeline of the first video (e.g., the main video) as the reference among the base videos. For example, timelines of the videos may be displayed based on at least one of an audio signal, a video signal, or a motion vector signal. Here, a feature point may be at least one of a sound source start time, a time at which a voice first comes out, a change in a facial feature point of a specific subject (e.g., the shape of a singer&#39;s lips), a time in voice change between people, and a time at which a behavioral characteristic (e.g. dancing) of a person first starts, but is not limited thereto. 
     According to an embodiment, the processor  120  may primarily synchronize the videos, based on an audio signal of the videos, and may secondarily perform time synchronization, based on a video signal based on motion vectors of objects included in the videos. 
     In operation  235 , the processor  120  may select a main subject from among the objects included in the videos (e.g., the base videos). 
     According to an embodiment, the processor  120  may select the main subject to be the center of the cross-edited video, based on the editing theme. 
     According to an embodiment, the electronic device  101  may support a function of selecting a main subject according to a user input from among the plurality of base videos. The processor  120  may detect a user input to select one of subjects included in the plurality of base videos displayed on the screen, and may designate a subject selected according to the user input as the main subject. 
     According to an embodiment, the processor  120  may identify the objects from the respective base videos through an object recognition function, and may comparatively analyze characteristics of the objects, thereby selecting (or choosing) the main subject to be the center of the cross-edited video to be generated. 
     According to an embodiment, the processor  120  may additionally designate candidate points (or candidate spots), based on feature points of the synchronized video signal, and may designate an interval between a feature point and a candidate point as one segmental section. 
     For example, the processor  120  may designate a subject most exposed at a first feature point, a second feature point, and a candidate point as the main subject. 
     In another example, when a plurality of subjects is present in the videos, the processor  120  may select a subject displayed for the most time in the videos, a subject positioned most at the center of the screen in the videos, and a subject focused most at camera angles as main subjects. 
     The processor  120  may comparatively analyze similarity based on image frames corresponding to the feature points and the candidate points, and may crop part corresponding to a designated segmental section from one recommended(or selected) video among the base videos, thereby extracting a segmental clip. 
     In operation  240 , the processor  120  may extract segmental clips recommended(or selected) for each section from the videos (e.g., the base videos) synchronized according to the timeline. 
     The processor  120  may select segmental clips recommended(or selected) from the base videos for each segmental section and may extract a plurality of segmental clips corresponding to the playback length of the video. 
     In operation  250 , the processor  120  may adjust (or correct) the segmental clips so that the subjects are synchronized with respect to the segmental clips. 
     For example, the base videos may be captured in different environments, and thus at least one of face sizes, face angles, and face proportions of the main subject included in the respective segmental clips (or a sub-subject included in the segmental clips or objects included in the screen) may be different. 
     According to an embodiment, the processor  120  may extract a feature point (e.g., a feature point of eye, nose, mouth, and face shapes) of the main subject included in before/after segmental clips, and may perform feature matching between the before/after segmental clips, thereby obtaining a geometric transformation matrix. The processor  120  may identify data about a crop size, a crop direction, rotation, and a video ratio, based on the geometric transformation matrix, so that feature points of the main subject included in the before/after segmental clips are similar, and may perform subject synchronization on the segmental clips, based on the identified data. 
     According to an embodiment, the processor  120  may automatically impart a scene change effect between segmental clips. The scene change effect may include, for example, at least one of a cut (a technique in which one scene instantly transitions to another scene), a dissolve (a technique in which one scene transitions to another scene, gradually fading), and a fade (a technique in which one image gradually changes to a full white scene or a white scene gradually changes to a different image), and may include other scene change effects without being limited thereto. 
     In operation  260 , the processor  120  may automatically generate a cross-edited video by joining the subject-synchronized segmental clips. 
     According to an embodiment, the processor  120  may compose the segmental clips to be connected from one clip to a next clip, thereby generating one cross-edited video (or an after video). The processor  120  may display the generated cross-edited video on the video editing UI screen. 
       FIG.  3    illustrates a cross-edited video generation method of an electronic device according to various embodiments, and  FIG.  4    illustrates a cross-edited video generation screen of an electronic device. 
     Referring to  FIG.  3    and  FIG.  4   , according to various embodiments, the electronic device (e.g., the electronic device  101  of  FIG.  1   ) may display a video editing user interface (UI) screen on a touchscreen display  160  (e.g., the display module  160  of  FIG.  1   ) in operation  310 . 
     For example, the touchscreen display  160  may display a video editing UI screen in response to an event (e.g., a user touch input) of requesting execution of a video editing function (or a video editing application). The electronic device  101  may support a function of automatically generating a cross-edited video using previously generated existing videos (e.g., base videos). 
     In operation  320 , a processor  120  may receive a first input to import at least two videos (e.g., base videos) to be edited through the video editing UI screen. Here, the first input may refer to a plurality of user inputs. 
     For example, the electronic device  101  may support at least one of a function of importing videos stored in the electronic device  101  through a video editing UI screen, a function of importing videos stored in a server by connecting to the server, or a function of importing videos provided by an open source through a web browser. 
     In operation  330 , the touchscreen display  160  may display videos imported by the first input under control of the processor  120 . 
     According to an embodiment, the processor  120  may detect the first input to import the base videos, and may control the display module  160  to display a plurality of base videos imported by the first input in a first area  410  of the video editing UI screen  401 . Each “module” herein may comprise circuitry. 
     The video editing UI screen will be described with reference to  FIG.  4   , which is only for illustration, and is not limited thereto. For example, the video editing UI screen  401  may include the first area  410  providing videos to be edited, a second area  420  providing a cross-edited video to be generated, a third area  430  providing a timeline (or timestamp) of each video, and a video editing generation item  440 . 
     Although not shown in the drawing, the video editing UI screen  401  may further include menu items (not shown) enabling user option configuration in addition to the video editing generation item. 
     For example,  FIG.  4    shows an example in which the first area  410  is divided into four subdivisions, and a first video  4111 , a second video  4112 , a third video  4113 , and a fourth video  4114  may be sequentially imported into the four subdivisions according to a user input. Referring to the drawing shown in  4001 , a user may select a first subdivision to import a video list, and may select one video in the video list to import the first video  4111 . Subsequently, the user may import the second video  4112 , the third video  4113 , and the fourth video  4114  by sequentially selecting a second subdivision, a third subdivision, and a fourth subdivision. 
     According to an embodiment, when the videos are imported into the first area  410 , the processor  120  may display timelines  4310  of audio signals corresponding to the respective imported videos in the third area  430 . Here, since a cross-edited video is not yet generated, the second area  420  may be displayed as an empty space. Each “processor” herein comprises processing circuitry. 
     In operation  335 , the processor  120  may receive a second input to select a main video from among the imported videos (e.g., the base videos). 
     According to an embodiment, the processor  120  may display a pointer (or a marker or an indicator) (not shown) supporting selection of a main video at an arbitrary position in the first area  410 , and may designate a base video imported into a subdivision where the pointer is positioned according to a user input among the base videos as the main video. 
     According to another embodiment, the electronic device  101  may support a function of designating a base image imported into a designated subdivision (e.g., a subdivision into which the first video  4111  is imported) of the first area  410  as the main video. 
     According to an embodiment, the electronic device  101  may support a function of changing the main video to change an editing theme after designating the main video. 
     According to an embodiment, the processor  120  may generate a cross-edited video (or an after video), based on the playback length of an audio signal included in the main video, and may designate the audio signal to be used for the cross-edited video. For example, the processor  120  may generate one cross-edited video by joining segmental clips, based on the audio signal included in the main video. 
     According to an embodiment, the processor  120  may determine an editing theme, based on the selected main video. For example, the processor  120  may analyze the main video to extract a characteristic pattern element (e.g., a person feature, a behavior pattern, an audio feature, and a camera moving feature) in the main video, and may determine an editing theme, based on the extracted pattern element. For example, when the main video is a video in which a specific person is singing on a stage, the processor  120  may determine audio and the specific person as an editing theme. 
     According to an embodiment, the processor  120  may predict a characteristic pattern element in the video using a deep learning engine, and may determine an editing theme based on the characteristic pattern element. 
     According to an embodiment, the electronic device  101  may support an option function of selecting an editing theme (e.g., a person similarity-oriented theme, a background similarity-oriented theme, a camera moving-oriented theme, a stage similarity-oriented theme) according to a user input after selecting the main video), and an editing theme may be configured by the user. 
     According to an embodiment, the electronic device  101  may automatically perform video size adjustment (deletion of an unnecessary section of a video) and video color correction (adjusting color distortion and white balance using a color correction algorithm) separately on each of the plurality of base videos imported into the first area  410 , and these processes may be omitted. For example, when there is a section of a conversation between people other than music playback in the videos, the electronic device  101  may automatically delete frames relating to the section of the conversation without the user&#39;s consent. 
     According to another embodiment, the electronic device  101  may include a user option function of performing video size adjustment or video color correction according to a user request separately for each of the plurality of base videos imported into the first area  410 . 
     In operation  340 , the processor  120  may perform video synchronization after allocating the videos to the timelines. 
     According to an embodiment, the processor  120  may designate an audio signal of a first video (e.g., the main video) as a reference among the base videos as a main audio signal, and may synchronize the videos by excluding audio signals of other videos. 
     According to an embodiment, the processor  120  may synchronize the videos by matching feature points of the other videos (e.g., a second video, a third video, . . . , an Nth video) to coincide according to a feature point (e.g., a high/low change point) of a timeline of the first video (e.g., the main video) as the reference among the base videos. Here, a feature point may be at least one of a sound source start time, a time at which a voice first comes out, a change in a facial feature point of a specific subject (e.g., the shape of a singer&#39;s lips), a time in voice change between people, and a time at which a behavioral characteristic (e.g. dancing) of a person first starts, but is not limited thereto. 
     After synchronizing the videos, the processor  120  may perform an update to a video signal synchronized with the timelines displayed in the third area  430 . 
     According to an embodiment, to synchronize the videos, the processor  120  may synchronize the videos, based on an audio signal of the videos, and may additionally synchronize the video by performing time synchronization using motion vectors of objects included in the videos. 
     In operation  350 , the processor  120  may select a main subject from among the objects included in the videos. 
     According to an embodiment, the processor  120  may detect a user input to select one of subjects included in the plurality of base videos displayed on the screen, and may designate a subject selected according to the user input as the main subject. 
     According to an embodiment, the processor  120  may identify the objects from the respective base videos through an object recognition function, and may comparatively analyze characteristics of the objects, thereby selecting (or choosing) the main subject to be the center of the cross-edited video to be generated. 
     For example, when a plurality of subjects is present in the videos, the processor  120  may select a subject displayed for the most time in the videos, a subject positioned most at the center of the screen in the videos, and a subject focused most at camera angles as main subjects. 
     According to an embodiment, an order in which operation  340  and operation  350  are performed may be changed. 
     In operation  360 , the processor  120  may extract segmental clips recommended (or selected) for each section from the base videos synchronized according to the timeline. 
     According to an embodiment, the processor  120  may additionally designate candidate points (or candidate spots), based on feature points of audio signals of synchronized timelines, and may designate an interval between a feature point and a candidate point as one segmental section. The processor  120  may comparatively analyze similarity, based on image frames corresponding to the feature points and the candidate points, and may crop part corresponding to a designated segmental section from one recommended (or selected) video among the base videos, thereby selecting a segmental clip. 
     The processor  120  may select segmental clips recommended (or selected) for each segmental section and may extract a plurality of segmental clips corresponding to the playback length of the video. 
     For example, assuming that a video length is  5  minutes, the processor  120  may extract a first segmental clip corresponding to a first section from the first video among the base videos, may extract a second segmental clip corresponding to a second section from the second video, may extract a third segmental clip corresponding to a third section from the third video, may extract a fourth segmental clip corresponding to a fourth section from the fourth video, may extract a fifth segmental clip corresponding to a fifth section from the first video, may extract a sixth segmental clip corresponding to a sixth section from the third video, and may extract an Nth segmental clip corresponding to an Nth section from the Nth video. Hereinafter, a process of selecting and recommending a segmental clip from the base videos will be described with reference to  FIG.  5 A  and  FIG.  5 B . 
     In operation  370 , the processor  120  may adjust (or correct) the segmental clips so that the subjects of other segmental clips are synchronized with respect to the main subject included in the first segmental clip. 
     According to an embodiment, the processor  120  may extract a feature point (e.g., a feature point of eye, nose, mouth, and face shapes) of the main subject included in before/after segmental clips, and may perform feature matching between the before/after segmental clips, thereby obtaining a geometric transformation matrix. The processor  120  may obtain a crop size, a crop direction, rotation, and a video ratio, based on the geometric transformation matrix, so that feature points of the main subject are similar, and may perform subject synchronization on the segmental clips, based on the crop size, the crop direction, the rotation, and the video ratio. 
     According to an embodiment, the processor  120  may automatically impart a scene change effect between segmental clips. The scene change effect may include, for example, at least one of a cut (a technique in which one scene instantly transitions to another scene), a dissolve (a technique in which one scene transitions to another scene, gradually fading), and a fade (a technique in which one image gradually changes to a full white scene or a white scene gradually changes to a different image), and may include other scene change effects without being limited thereto. 
     In operation  380 , the processor  120  may automatically generate a cross-edited video by joining the subject-synchronized segmental clips of the sections. 
     According to an embodiment, the processor  120  may compose the segmental clips to be connected from one clip to a next clip, thereby generating one cross-edited video (or an after video), and may display the generated cross-edited video on the video editing UI screen. 
     In operation  390 , the touchscreen display  160  may display the cross-edited video generated based on the segmental clips automatically recommended (or selected) by the electronic device  101  and timestamps of the segmental clips under control of the processor  120 . 
     For example, as shown in  4002 , the user may select the video editing generation item  440  included in the video editing UI screen. In response to an input to select the edited video generation item  440 , the processor  120  may analyze the videos (e.g., the first video  4111 , the second video  4112 , the third video  4113 , and the fourth video  4114 ) imported into the first area  410  to designate the segmental clips recommended (or selected) for the respective sections, may automatically generate a cross-edited video  4210 , based on the segmental clips, and may output the cross-edited video to the second area  420 . When the cross-edited video  4210  is generated, the processor  120  may update the timelines to display the timestamps  4320  of the segmental clips of the respective videos in the third area  430 . 
     The user may identify the cross-edited video  4210  automatically generated by playing the cross-edited video  4210  displayed in the second area  420 , and may identify the segmental clips in the designated sections of the respective videos for cross-editing through the timestamps  4320  displayed in the third area  430 . 
     According to an embodiment, the electronic device  101  may support a function of playing only a segmental clip of a selected time stamp when the time stamp is selected and a function of modifying an editing effect of each segmental clip. 
     According to another embodiment, although  FIG.  4    shows an example of importing four videos, when the user imports two videos or only three videos, the processor  120  may generate a cross-edited video, based on only the videos imported into the video editing UI screen  401 . 
     According to various embodiments, without a user&#39;s additional editing input, the electronic device may analyze videos to automatically recommend a segmental clip in each section, may synchronize recommended (or selected) segmental clips with respect to a subject, and may automatically generate a cross-edited video, thereby saving time required for editing when generating the cross-video. 
       FIGS.  5 A and  5 B  illustrate examples of adjusting video synchronization of videos according to various embodiments. 
     Referring to  FIGS.  5 A and  5 B , according to various embodiments, to synchronize videos, a processor  120  of an electronic device  101  may arrange audio signals according to a timeline, and may then analyze feature points of the audio signals to recommend segmental clips in sections from the respective base videos. 
     For example, when there are four base videos (video  1 , video  2 , video  3 , and video  4 ), a timeline of a first audio signal  511  of video  1 , a timeline of a second audio signal  512  of video  2 , a timeline of a third audio signal  513  of video  3 , and a timeline of a fourth audio signal  514  of video  4  may be arrange as shown in  5001 . 
     The processor  120  may identify the feature points of the audio signals. For example, the processor  120  may identify points having significant variance in the audio signals as the feature points, and may consider the feature points as candidate points of segmental sections. 
     As shown in  5002 , for example, first points  51  and second points S 2  are distinct change points in the signals, and the processor  120  may identify these points as feature points. The first points S 1  and the second points S 2  are merely examples, and additional feature points may exist. 
     When video  1  is designated as a main video, the processor  120  may synchronize the second audio signal  512 , the third audio signal  513 , and the fourth audio signal  514  with the first audio signal  511  so that the first points  51  and the second points S 2  coincide or substantially coincide. 
     As shown in  5003 , to select segmental sections, the processor  120  may designate third points S 3  which are midpoints between the first points S 1  and the second points S 2  as candidate points, and may designate fourth points S 4  which are midpoints between other N points after the second points S 2  as candidate points. 
     The processor  120  may compare frame videos at the first points S 1 , the second points S 2 , the third points S 3 , and the fourth points S 4 , and may select points at which the frame images have similarity as shown in  5004 . 
     For example, the processor  120  may compare and analyze frame images at the first points S 1 , the second points S 2 , the third points S 3 , and the fourth points S 4  and may identify whether the same subject exists. 
     Referring to similarities shown in  5004 , the same first subject  520  exists at the first points S 1  of video  1 , video  2 , and video  3 . The first subject  520  exists at the third points S 3  of video  1 , video  3 , and video  4 , and exists at the second points S 2  of video  1 , video  2 , video  3 , and video  4 . The first subject  520  exists at the fourth points S 4  of video  1 , and a different second subject exists at the fourth points S 4  of video  2  and video  4 . 
     Although not shown in the drawing, when no similarity is found at the candidates points between the videos, the processor  120  may exclude the candidate points from a candidate point list. 
     As shown in  5005 , the processor  120  may select recommended (or selected) segmental clips, based on the similarity between the candidate points. 
     For example, assuming that the processor  120  arbitrarily selects video  1  to recommend a first segmental clip  541  for an interval between start positions and the first points S 1 , the processor  120  may select video  3  including the first subject  520  to select a second segmental clip  542  for an interval between the first points S 1  and the third points S 3  by comparing similarities between the first points S 1  and the third points S 3 . Subsequently, the processor  120  may select video  4  to select a third segmental clip  543  by comparing similarities between the third points S 3  and the second points S 2 . 
     The processor  120  may select a fourth segmental clip  544  from video  2  including the second subject  530  for an interval between the second points S 2  and the fourth points S 4  to maintain continuity after the fourth points S 4 , and may then select a fifth segmental clip  545  from video  4  including the second subject  530 . 
       FIG.  6    illustrates examples of timestamps of segmental clips according to various embodiments. 
     Referring to  FIG.  6   , according to an embodiment, an electronic device (e.g., the electronic device  101  of  FIG.  1   ) may generate a cross-edited video  620  by joining cross-edited segmental clips, based on an audio signal  610 . 
     The audio signal  610  of a video selected as a main video may be used as an audio signal of the cross-edited video. 
     For example, referring to a time stamp of the cross-edited video, the cross-edited video may include a first segmental clip  601  and a fifth segmental clip  605  extracted from video  1 , a second segmental clip  602  and a seventh segmental clip  607  extracted from video  2 , a third segmental clip  603  and a sixth segmental clip  606  extracted from video  3 , and a fourth segmental clip  604  and an eighth segmental clip  608  extracted from video  4 . 
     The processor  120  may repeat a process of composing the segmental clips in a manner such that an end position of the first segmental clip  601  is joined to a start position of the second segmental clip  602  and an end position of the second segmental clip  602  is joined to a start position of the third segmental clip  603 , thereby automatically generating the cross-edited image  620  corresponding to the overall length of the audio signal  610 . 
       FIG.  7    illustrates a cross-edited video generation method of an electronic device according to various embodiments, and  FIG.  8    illustrates cross-edited video generation screens of an electronic device according to various embodiments. 
     Referring to  FIG.  7    and  FIG.  8   , according to various embodiments, the electronic device (e.g., the electronic device  101  of  FIG.  1   ) may display a video editing user interface (UI) screen  8001  on a touchscreen display  160  (e.g., the display module  160  of  FIG.  1   ) in operation  710 . 
     In operation  720 , a processor  120  may receive a first input to import at least two base videos (e.g., stored videos) to be edited through the video editing UI screen. Here, the first input may refer to a plurality of user inputs. 
     In operation  730 , the touchscreen display  160  may display videos imported by the first input on the video editing UI screen under control of the processor  120   
     For example, the video editing UI screen  8001  shown in  FIG.  8    may include a first area  810  providing videos to be edited, a second area  820  providing a cross-edited video to be generated, a third area  830  providing a timeline (or timestamp)  8310  of each video, and a video editing generation item  840 . For example,  FIG.  8    shows an example in which the first area  810  is divided into four subdivisions, and a first video  8111 , a second video  8112 , a third video  8113 , and a fourth video  8114  may be imported. 
     In operation  735 , the processor  120  may receive a second input to select a main video from among the imported videos (e.g., the base videos). 
     According to an embodiment, the processor  120  may display a pointer (or a marker or an indicator) (not shown) supporting selection of a main video at an arbitrary position in the first area  810 , and may designate a base video imported into a subdivision where the pointer is positioned according to a user input among the base videos as the main video. 
     According to another embodiment, the electronic device  101  may support a function of designating a base image imported into a designated subdivision (e.g., a subdivision into which the first video  8111  is imported) of the first area  810  as the main video. 
     According to an embodiment, the processor  120  may determine an editing theme, based on the selected main video. For example, the processor  120  may analyze the main video to extract a characteristic pattern element (e.g., a movement of a subject, a facial expression of a subject, a video taking angle, a video taking time, a video taking location, a camera moving feature (e.g., see metadata)) in the main video, and may determine an editing theme, based on the extracted pattern element. 
     According to an embodiment, the processor  120  may predict a characteristic pattern element in the video using a deep learning engine, and may determine an editing theme based on the characteristic pattern element. 
     According to an embodiment, the electronic device  101  may support an option function of selecting an editing theme (e.g., a person similarity-oriented theme, a background similarity-oriented theme, a camera moving-oriented theme, a stage similarity-oriented theme) according to a user input after selecting the main video), and an editing theme may be configured by a user. 
     According to an embodiment, the electronic device  101  may automatically perform video size adjustment (deletion of an unnecessary section of a video) and video color correction (adjusting color distortion and white balance using a color correction algorithm) separately on each of the plurality of base videos imported into the first area  810 , and these processes may be omitted. 
     According to another embodiment, the electronic device  101  may include a user option function of performing video size adjustment or video color correction according to a user request separately for each of the plurality of base videos imported into the first area  810 . 
     In operation  740 , the processor  120  may select a main subject from among objects included in the main video. 
     According to an embodiment, the processor  120  may identify the objects from the respective base videos through an object recognition function, and may comparatively analyze characteristics of the objects, thereby selecting (or choosing) the main subject to be the center of the cross-edited video to be generated. 
     For example, when a plurality of subjects is present in the videos, the processor  120  may select a subject displayed for the most time in the videos, a subject positioned most at the center of the screen in the videos, and a subject focused most at camera angles as main subjects. 
     In operation  745 , the processor  120  may extract motion vectors of the imported videos. 
     For example, when videos having different sound sources or a plurality of videos taken in different environments are imported, it may be difficult to perform a synchronization operation based on an audio signal. When a synchronization operation based on audio synchronization cannot be performed, the processor  120  may extract a motion vector of a moving object included in a video for each video. 
     In operation  750 , the processor  120  may perform time synchronization, based on the motion vectors. 
     According to an embodiment, the processor  120  may identify vector sections estimated as similar movements among the motion vectors of the respective videos, and may perform time synchronization by matching based on the vector sections estimated as the similar movements. 
     According to an embodiment, the processor  120  may display the video synchronization result of the base videos by updating the third area  830 . 
     In operation  760 , the processor  120  may extract segmental clips recommended (or selected) for each section from the time-synchronized videos. 
     According to an embodiment, the processor  120  may additionally designate candidate points (or candidate spots), based on feature points of the time-synchronized videos, and may designate an interval between a feature point and a candidate point as one segmental section. The processor  120  may comparatively analyze similarity, based on image frames corresponding to the feature points and the candidate points, and may crop part corresponding to a designated segmental section from one recommended (or selected) video among the videos, thereby extracting a segmental clip. 
     The processor  120  may identify the size of a subject&#39;s face in each of the segmental clips in operation  770 , and the processor  120  may adjust (or correct) the segmental clips so that the subjects of other segmental clips are synchronized with respect to the main subject included in the first segmental clip in operation  780 . 
     According to an embodiment, the processor  120  may extract a feature point (e.g., a feature point of eye, nose, mouth, and face shapes) of the main subject included in before/after segmental clips, and may perform feature matching between the before/after segmental clips, thereby obtaining a geometric transformation matrix. The processor  120  may obtain a crop size, a crop direction, rotation, and a video ratio, based on the geometric transformation matrix, so that feature points of the main subject are similar, and may perform subject synchronization on the segmental clips, based on the crop size, the crop direction, the rotation, and the video ratio. 
     For example, the processor  120  may perform subject synchronization so that the face size ratios of the main subjects overlap each other at similar ratios. 
     According to an embodiment, the processor  120  may automatically impart a scene change effect between segmental clips. The scene change effect may include, for example, at least one of a cut (a technique in which one scene instantly transitions to another scene), a dissolve (a technique in which one scene transitions to another scene, gradually fading), and a fade (a technique in which one image gradually changes to a full white scene or a white scene gradually changes to a different image), and may include other scene change effects without being limited thereto. 
     In operation  790 , the processor  120  may automatically generate a cross-edited video by joining the subject-synchronized segmental clips of the sections. 
     According to an embodiment, the processor  120  may compose the segmental clips to be connected from one clip to a next clip, thereby generating one cross-edited video (or an after video), and may display the generated cross-edited video on the video editing UI screen. 
     In operation  795 , the touchscreen display  160  may display the cross-edited video generated based on the segmental clips automatically recommended (or selected) by the electronic device  101  and timestamps of the segmental clips under control of the processor  120 . 
     For example, as shown in  8002 , in response to an input to select the edited video generation item  840 , the processor  120  may extract recommended (or selected) segmental clips from the videos (e.g., the first video  8111 , the second video  8112 , the third video  8113 , and the fourth video  8114 ) imported into the first area  810 , may automatically generate a cross-edited video  8210 , based on the segmental clips, and may output the cross-edited video to the second area  820 . When the cross-edited video  8210  is generated, the processor  120  may update the timelines to display the timestamps  8320  of the segmental clips of the respective videos in the third area  830 . 
     Here, even though the face sizes of the subjects included in the segmental clips are different, the aspect ratios, sizes, and angles of the segmental clips may be adjusted with respect to the subjects&#39; faces, thereby generating a cross-edited video in which the segmental clips are smoothly joined. 
       FIG.  9    illustrates examples of adjusting time synchronization of videos according to various embodiments. Each embodiment herein may be used in combination with any other embodiment described herein. 
     Referring to  FIG.  9   , according to various embodiments, a processor  120  of an electronic device  101  may extract a motion vector of a moving object included in videos and may perform time synchronization of the videos, based on the motion vector. “Based on” as used herein covers based at least on. 
     For example, motion vectors according to movements of moving objects (e.g., subjects) are extracted from video  1  and video  2 , and may be represented by a first motion vector  910  and a second motion vector  915 . 
     The processor  120  may compare the first motion vector  910  and the second motion vector  915  to analyze whether there are sections represented as similar movements, may identify feature points  920  determined as similar movement sections, and may perform time synchronization of video  1  and video  2  with respect to the feature points  920 . 
     After the time synchronization, the processor  120  may recommend and select segmental clips from the videos, based on the similarity between the videos, and may automatically generate a cross-edited video using the selected segmental clips. 
     According to various embodiments, a method for automatically generating a cross-edited video by an electronic device  101 , the method comprising displaying an edited video user interface screen, receiving a first input to select a plurality of videos generated from at least two difference sources through the edited video user interface screen, performing video synchronization so that timelines of the plurality of selected videos coincide or substantially coincide, extracting segmental clips selected by recommending in each section from the respective videos, based on a main subject selected by analyzing the plurality of videos, adjusting different segmental clips so that subjects included in the different segmental clips are synchronized based on a segmental clip in a first section, automatically generating a cross-edited video by joining segmental clips of respective sections in which the subjects are synchronize, and display the cross-edited video on the edited video user interface screen. 
     According to various embodiments the video editing user interface screen comprises a first area displaying the plurality of videos, a second area displaying the cross-edited video, a third area displaying the timelines and/or timestamps of the videos, and a cross-edited video generation item, wherein the receiving of the first input further comprises displaying the plurality of videos selected by the first input in the first area. 
     According to various embodiments, the method further comprising receiving a second input to select a main video from among the plurality of videos, wherein the performing of the video synchronization comprises performing synchronization so that feature points of audio signals corresponding to different videos coincide with a feature point of an audio signal included in the main video. 
     According to various embodiments, the method further comprising, automatically performing at least one of unnecessary noise section deletion and video color correction for each video before extracting the segmental clips after the performing of the video synchronization. 
     According to various embodiments, the extracting of the segmental clips further comprises designating a candidate point at and/or proximate a midpoint between a first feature point and a second feature point of the audio signal for each video and designating a first section between the first feature point and the candidate point and a second section between the candidate point and the second feature point, and wherein the recommended segmental clips are extracted by comparing image frames corresponding to the first feature point, the second feature point, and the candidate point designated for each video to analyze similarity between the image frames and cropping part of one recommended video for each section among the videos. 
     According to various embodiments, the extracting of the segmental clips further comprises selecting the main subject, based on the image frames corresponding to the first feature point, the second feature point, and the candidate point, or designating a subject selected by a user input as the main subject, and wherein at least one of a subject equally exposed at the first feature point, the second feature point, and the candidate point, a subject displayed most in the videos, and a subject positioned at a center of a screen in the videos is selected as the main subject. 
     According to various embodiments, the extracting of the segmental clips comprises recommending and extracting a second segmental clip from a different video having similarity in the main subject, based on a first segmental clip comprising the main subject. 
     According to various embodiments, the performing of the video synchronization comprises identifying data about a crop size, a crop direction, rotation, and a video ratio and performing subject synchronization on each segmental clip, based on the identified data, so that feature points of the main subject included in the first segmental clip and the second segmental clip are similar. 
     As used in connection with various embodiments of the disclosure, the term “module” may include a unit implemented in hardware, software, or firmware, and may interchangeably be used with other terms, for example, “logic,” “logic block,” “part,” or “circuitry”. A module may be a single integral component, or a minimum unit or part thereof, adapted to perform one or more functions. For example, according to an embodiment, the module may be implemented in a form of an application-specific integrated circuit (ASIC). 
     Various embodiments as set forth herein may be implemented as software (e.g., the program  140 ) including one or more instructions that are stored in a storage medium (e.g., internal memory  136  or external memory  138 ) that is readable by a machine (e.g., the electronic device  101 ). For example, a processor (e.g., the processor  120 ) of the machine (e.g., the electronic device # 01 ) may invoke at least one of the one or more instructions stored in the storage medium, and execute it, with or without using one or more other components under the control of the processor. This allows the machine to be operated to perform at least one function according to the at least one instruction invoked. The one or more instructions may include a code generated by a compiler or a code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Wherein, the term “non-transitory” simply means that the storage medium is a tangible device, and does not include a signal (e.g., an electromagnetic wave), but this term does not differentiate between where data is semi-permanently stored in the storage medium and where the data is temporarily stored in the storage medium. 
     According to an embodiment, a method according to various embodiments of the disclosure may be included and provided in a computer program product. The computer program product may be traded as a product between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read only memory (CD-ROM)), or be distributed (e.g., downloaded or uploaded) online via an application store (e.g., PlayStore TM ), or between two user devices (e.g., smart phones) directly. If distributed online, at least part of the computer program product may be temporarily generated or at least temporarily stored in the machine-readable storage medium, such as memory of the manufacturer&#39;s server, a server of the application store, or a relay server. 
     According to various embodiments, each component (e.g., a module or a program) of the above-described components may include a single entity or multiple entities, and some of the multiple entities may be separately disposed in different components. According to various embodiments, one or more of the above-described components may be omitted, or one or more other components may be added. Alternatively or additionally, a plurality of components (e.g., modules or programs) may be integrated into a single component. In such a case, according to various embodiments, the integrated component may still perform one or more functions of each of the plurality of components in the same or similar manner as they are performed by a corresponding one of the plurality of components before the integration. According to various embodiments, operations performed by the module, the program, or another component may be carried out sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations may be executed in a different order or omitted, or one or more other operations may be added. 
     While the above has been illustrated and described with reference to various example embodiments, it will be understood that the various example embodiments are intended to be illustrative, not limiting. It will be further understood by those skilled in the art that various changes in form and detail may be made without departing from the true spirit and full scope of the disclosure, including the appended claims and their equivalents. It will also be understood that any embodiment(s) described herein may be used in conjunction with any other embodiment(s) described herein.