Abstract: A method for video clip extraction includes: obtaining a video, and sampling the video to obtain N video frames, wherein N is a positive integer; inputting the N video frames to a pre-trained frame feature extraction model to obtain a feature vector of each video frame in N video frames; determining scores of the N video frames based on a pre-trained scoring model; and extracting target video clips from the video based on the scores of the N video frames.

Abstract: A method for extracting a video clip includes obtaining a video and splitting the video into multiple clips. The multiple clips are input into a pre-trained scoring model, to obtain a score of each of the multiple clips. The scoring model is obtained by training based on data pairs including first clips and second clips, the data pairs including first clips and second clips are obtained based on labeled clips labeled with target attributes, and the target attributes include attributes that characterize clips as target clips or non-target clips. A target clip is extracted from the multiple clips based on the score of each of the multiple clips. An apparatus for extracting a video clip and a computer readable storage medium are also disclosed.

Abstract: A video processing method includes: extracting a plurality of video frames from a source video with a first aspect ratio; clipping each of the plurality of video frames multiple times to generate a plurality of candidate clipping boxes with a second aspect ratio; respectively determining scores of the plurality of candidate clipping boxes of each of the plurality of video frames, the scores representing playing effects of the video frames in response to that each of the candidate clipping boxes is taken as a clipping range; selecting a clipping box of each of the video frames from the plurality of candidate clipping boxes based on the scores; and clipping each of the video frames by using the selected clipping box, and generating a target video with the second aspect ratio.

Abstract: The present disclosure relates to an image processing method that can include that an image to be processed is acquired, at least one category is selected via category information of the image to be processed, and a thermodynamic diagram for each category in the at least one category can be determined via the category information. The method can further include that a first positioning frame set corresponding to a target object in the image to be processed is respectively determined for the thermodynamic diagram for each category in the thermodynamic diagram for the at least one category, and a second positioning frame set of the image to be processed is determined according to an unsupervised target detection algorithm. Additionally, the method can include that a target positioning frame set in the image to be processed is determined according to the first positioning frame set and the second positioning frame set.

Abstract: A video processing method includes: collecting a plurality of video frames sequentially from a to-be-processed video; classifying an image corresponding to each of the plurality of video frames to obtain a classification result; for each video frame, performing a temporal smoothing processing on the classification result for the image corresponding to the video frame, to determine at least one category associated with the video frame; and grouping the adjacent video frames of a same category into a video segment, to obtain a plurality of video segments.

Abstract: A method and a device for video clip extraction, and a storage medium are disclosed. The method includes: obtaining a video, and sampling the video to obtain N video frames, wherein N is a positive integer; inputting the N video frames to a pre-trained frame feature extraction model to obtain a feature vector of each video frame in N video frames; determining scores of the N video frames based on a pre-trained scoring model; and extracting target video clips from the video based on the scores of the N video frames.

Abstract: A method for extracting a video clip includes obtaining a video and splitting the video into multiple clips. The multiple clips are input into a pre-trained scoring model, to obtain a score of each of the multiple clips. The scoring model is obtained by training based on data pairs including first clips and second clips, the data pairs including first clips and second clips are obtained based on labeled clips labeled with target attributes, and the target attributes include attributes that characterize clips as target clips or non-target clips. A target clip is extracted from the multiple clips based on the score of each of the multiple clips. An apparatus for extracting a video clip and a computer readable storage medium are also disclosed.

Abstract: The present disclosure relates to an image processing method that can include that an image to be processed is acquired, at least one category is selected via category information of the image to be processed, and a thermodynamic diagram for each category in the at least one category can be determined via the category information. The method can further include that a first positioning frame set corresponding to a target object in the image to be processed is respectively determined for the thermodynamic diagram for each category in the thermodynamic diagram for the at least one category, and a second positioning frame set of the image to be processed is determined according to an unsupervised target detection algorithm. Additionally, the method can include that a target positioning frame set in the image to be processed is determined according to the first positioning frame set and the second positioning frame set.

Abstract: A video processing method includes: extracting a plurality of video frames from a source video with a first aspect ratio; clipping each of the plurality of video frames multiple times to generate a plurality of candidate clipping boxes with a second aspect ratio; respectively determining scores of the plurality of candidate clipping boxes of each of the plurality of video frames, the scores representing playing effects of the video frames in response to that each of the candidate clipping boxes is taken as a clipping range; selecting a clipping box of each of the video frames from the plurality of candidate clipping boxes based on the scores; and clipping each of the video frames by using the selected clipping box, and generating a target video with the second aspect ratio.

Abstract: A video processing method includes: collecting a plurality of video frames sequentially from a to-be-processed video; classifying an image corresponding to each of the plurality of video frames to obtain a classification result; for each video frame, performing a temporal smoothing processing on the classification result for the image corresponding to the video frame, to determine at least one category associated with the video frame; and grouping the adjacent video frames of a same category into a video segment, to obtain a plurality of video segments.