A video editing system capable of quickly providing video that an original appears and reducing a workload on a service manager. The video editing system edits multiple pieces of video including original video that a cast oneself appears and substitute video in chronological order to generate complete video. Specifically, the video editing system acquires cast attribute data indicating a cast attribute, acquires original video data indicating the original video shot by a shooting apparatus, and selects substitute video data in a predetermined shooting pattern from multiple shooting patterns based on the cast attribute indicated by the cast attribute data. Moreover, the video editing system edits the original video indicated by the original video data and the substitute video indicated by the selected substitute video data in chronological order to generate complete video data indicating the complete video.

A video editing system capable of quickly providing video that an original appears and reducing a workload on a service manager. The video editing system edits multiple pieces of video including original video that a cast oneself appears and substitute video in chronological order to generate complete video. Specifically, the video editing system acquires cast attribute data indicating a cast attribute, acquires original video data indicating the original video shot by a shooting apparatus, and selects substitute video data in a predetermined shooting pattern from multiple shooting patterns based on the cast attribute indicated by the cast attribute data. Moreover, the video editing system edits the original video indicated by the original video data and the substitute video indicated by the selected substitute video data in chronological order to generate complete video data indicating the complete video.

Embodiments of the present disclosure describes techniques for clipping a video. The disclosed techniques comprise obtaining a video including a plurality of frames performing object detection on each frame; identifying objects contained in each frame, wherein a region where each object is located is selected through a detection box; classifying and recognizing the objects identified in each frame using a pre-trained classification model; selecting human body region images; determining a similarity between each human body region image selected from the plurality of frames and a target character image; in response to determining that a similarity between a human body region image and the target character image is greater than a predetermined threshold, identifying the human body region image as a clipping image; and synthesizing clipping images identified in the plurality of frames in order of time to obtain a clipping video.

Embodiments of the present disclosure describes techniques for clipping a video. The disclosed techniques comprise obtaining a video including a plurality of frames performing object detection on each frame; identifying objects contained in each frame, wherein a region where each object is located is selected through a detection box; classifying and recognizing the objects identified in each frame using a pre-trained classification model; selecting human body region images; determining a similarity between each human body region image selected from the plurality of frames and a target character image; in response to determining that a similarity between a human body region image and the target character image is greater than a predetermined threshold, identifying the human body region image as a clipping image; and synthesizing clipping images identified in the plurality of frames in order of time to obtain a clipping video.

Visual effects schedules are applied to audiovisual performances with differing visual effects applied in correspondence with differing elements of musical structure. Segmentation techniques applied to one or more audio tracks (e.g., vocal or backing tracks) are used to compute some of the components of the musical structure. In some cases, applied visual effects schedules are mood-denominated and may be selected by a performer as a component of his or her visual expression or determined from an audiovisual performance using machine learning techniques.

Visual effects schedules are applied to audiovisual performances with differing visual effects applied in correspondence with differing elements of musical structure. Segmentation techniques applied to one or more audio tracks (e.g., vocal or backing tracks) are used to compute some of the components of the musical structure. In some cases, applied visual effects schedules are mood-denominated and may be selected by a performer as a component of his or her visual expression or determined from an audiovisual performance using machine learning techniques.

Disclosed are a video automatic editing method and system based on machine learning. The video automatic editing system based on machine learning includes at least one processor, and the at least one processor includes a video acquirer configured to acquire input video, a highlight frame extractor configured to extract at least one highlight frame from the input video using a highlight extraction model pre-trained through machine learning, and a highlight video generator configured to generate highlight video from the at least one extracted highlight frame.

Disclosed are a video automatic editing method and system based on machine learning. The video automatic editing system based on machine learning includes at least one processor, and the at least one processor includes a video acquirer configured to acquire input video, a highlight frame extractor configured to extract at least one highlight frame from the input video using a highlight extraction model pre-trained through machine learning, and a highlight video generator configured to generate highlight video from the at least one extracted highlight frame.

Embodiments of the present disclosure provide a method and apparatus for generating a music poster, an electronic device, and a medium. The method includes: obtaining basic information of target music and lyric information of the target music, in response to a music poster generation instruction for the target music; generating a first video having a special effect based on the basic information of the target music; generating a second video based on the lyric information of the target music; and merging the first video with the second video to obtain the music poster of the target music. The embodiments of the present disclosure can achieve the visual appeal of the music poster while highlighting the basic information of a song, thereby enhancing the user's perception of the whole song and improving the user experience.

Embodiments of the present disclosure provide a method and apparatus for generating a music poster, an electronic device, and a medium. The method includes: obtaining basic information of target music and lyric information of the target music, in response to a music poster generation instruction for the target music; generating a first video having a special effect based on the basic information of the target music; generating a second video based on the lyric information of the target music; and merging the first video with the second video to obtain the music poster of the target music. The embodiments of the present disclosure can achieve the visual appeal of the music poster while highlighting the basic information of a song, thereby enhancing the user's perception of the whole song and improving the user experience.