Abstract: Embodiments of the present application relate to the field of computer vision, and disclose a temporal proposal generation method and apparatus. The method includes: acquiring a first feature sequence of a video stream; obtaining a first object boundary probability sequence based on the first feature sequence, where the first object boundary probability sequence includes probabilities that the multiple segments belong to an object boundary; obtaining a second object boundary probability sequence based on a second feature sequence of the video stream, where the second feature sequence and the first feature sequence comprise same feature data arranged in a reverse order; and generating a temporal object proposal set based on the first object boundary probability sequence and the second object boundary probability sequence.

Abstract: The present disclosure relates to a video processing method and an apparatus, an electronic device, and a storage medium. The method includes: performing a feature extraction on a plurality of target video frames of a video to be processed through a feature extraction network, to obtain feature maps of the plurality of target video frames; performing an action recognition process on the feature maps of the plurality of target video frames through an M-level action recognition network, to obtain action recognition features of the plurality of target video frames; and determining a classification result of the video to be processed according to the action recognition features of the plurality of target video frames.