Action recognition method and apparatus, and electronic device and storage medium
AssigneeBeijing Zitiao Network Technology Co., Ltd.
InventorJie WU
Life of this patent
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Abstract
An action recognition method, an electronic device, and a non-transitory storage medium are provided. The action recognition method includes: augmenting an original video to obtain a plurality of augmented video segments; extracting multi-level video features of the plurality of augmented video segments based on a pre-trained action recognition model, and outputting an action recognition result of the original video according to the multi-level video features of the plurality of augmented video segments.
Claims21
An action recognition method, comprising:
- augmenting an original video to obtain a plurality of augmented video segments;
- extracting multi-level video features of the plurality of augmented video segments based on a pre-trained action recognition model, and outputting an action recognition result of the original video according to the multi-level video features of the plurality of augmented video segments.
(canceled)
An electronic device, comprising:
- at least one processor;
- and
- a storage apparatus, configured to store at least one program,
- wherein the at least one program, when executed by the at least one processor, causes the at least one processor to;
- augment an original video to obtain a plurality of augmented video segments;
- extract multi-level video features of the plurality of augmented video segments based on a pre-trained action recognition model, and output an action recognition result of the original video according to the multi-level video features of the plurality of augmented video segments.
A non-transitory storage medium comprising computer-executable instructions, wherein the computer-executable instructions, when executed by a computer processor, cause the computer processor to:
- augment an original video to obtain a plurality of augmented video segments;
- extract multi-level video features of the plurality of augmented video segments based on a pre-trained action recognition model, and output an action recognition result of the original video according to the multi-level video features of the plurality of augmented video segments.
Dependencies are inferred from the claim text.