Video classification method and server

A computing device, comprising a memory and a processor;

• the memory storing a plurality of instructions that, when executed by the processor, cause the computing device to perform a plurality of operations including:
• obtaining a to-be-processed video, the to-be-processed video comprising at least one video frame, each video frame corresponding to a time point;
• obtaining a visual signal feature sequence corresponding to the to-be-processed video, the visual signal feature sequence comprising at least one visual signal feature, each visual signal feature corresponding to a respective video frame at a time point;
• obtaining an audio signal feature sequence corresponding to the visual signal feature sequence, the audio signal feature sequence comprising at least one audio signal feature, each audio signal feature corresponding to a respective visual signal feature at a time point;
• generating a target signal feature sequence according to the visual signal feature sequence and the audio signal feature sequence;
• and
• obtaining a classification prediction result corresponding to the target signal feature sequence, the classification prediction result being used for predicting a video type of the to-be-processed video.

A non-transitory computer-readable storage medium, storing a plurality of instructions that, when executed by a processor of a computing device, cause the computing device to perform a plurality of operations including:

• obtaining a to-be-processed video, the to-be-processed video comprising at least one video frame, each video frame corresponding to a time point;
• obtaining a visual signal feature sequence corresponding to the to-be-processed video, the visual signal feature sequence comprising at least one visual signal feature, each visual signal feature corresponding to a respective video frame at a time point;
• obtaining an audio signal feature sequence corresponding to the visual signal feature sequence, the audio signal feature sequence comprising at least one audio signal feature, each audio signal feature corresponding to a respective visual signal feature at a time point;
• generating a target signal feature sequence according to the visual signal feature sequence and the audio signal feature sequence;
• and
• obtaining a classification prediction result corresponding to the target signal feature sequence, the classification prediction result being used for predicting a video type of the to-be-processed video.