CPC G06V 20/41 (2022.01) [G06F 18/214 (2023.01); G06F 18/253 (2023.01); G06V 20/46 (2022.01); G06V 20/49 (2022.01)] | 20 Claims |
1. A video classification method performed by a computer device, the method comprising:
obtaining a video;
dividing the video into n segments of equal length, n being a positive integer;
selecting n image frames from the video, each image frame from a corresponding one of the n segments;
extracting respective feature information of each of the n image frames by using a feature extraction network;
fusing the feature information of each of the n image frames according to a learned feature fusion policy, the learned feature fusion policy being used for indicating, when a first image frame in the n image frames is fused with feature information of other image frames in the n image frames, proportions of the feature information of the other image frames; and
determining a classification result of the video according to the respective feature information of the n image frames, wherein feature information of an edge image frame in the n image frames is weighted differently from feature information of a non-edge image frame in the n image frames.
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