Video identification method, video identification device, and storage medium

A video identification device, comprising:

• a memory configured to store instructions;
• a processor coupled to the memory, wherein based on the instructions stored in the memory, the processor is configured to:
• extract an image and an optical flow from a video;
• classify the image by using a first machine learning model to obtain a first classification result, wherein the first machine learning model comprises a first machine learning submodel, a second machine learning submodel, a first fully connected layer, and a first classifier;
• and the processor is configured to:
• input the image into the first machine learning submodel to obtain first feature information;
• input the first feature information into the second machine learning submodel to obtain second feature information;
• input the second feature information into the first fully connected layer to obtain third feature information;
• and
• input the third feature information into the first classifier to obtain the first classification result;
• classify the optical flow by using a second machine learning model to obtain a second classification result, wherein a depth of the first machine learning model is larger than a depth of the second machine learning model;
• and
• fuse the first classification result and the second classification result to obtain an identification result of the video.