Abstract: 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.

Abstract: 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.