Patent ID: 11900682
Assignee: BEIJING XIAOMI PINECONE ELECTRONICS CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. The storage medium of claim 14, wherein the scoring model is obtained by:
sampling K first video frames in the first clip, extracting first feature vectors of the K first video frames based on the frame feature extraction model, and sampling K second video frames in the second clip, extracting second feature vectors of the K second video frames based on the frame feature extraction model,
fusing the first feature vectors of K first video frames to a fixed-length first clip feature vector based on the multi-frame fusion layer, and fusing the second feature vectors of K second video frames to a fixed-length second clip feature vector based on the multi-frame fusion layer; and
inputting the fixed-length first clip feature vector and the fixed-length second clip feature vector to a twin neural network, to obtain the score of the first clip and the score of the second clip, and performing back propagation with a ranking loss to obtain a trained twin neural network; wherein the twin neural network comprises two multi-layer perceptron models with shared parameters; the scoring model being a multi-layer perceptron model of the trained twin neural network.