Video retrieval method and device, equipment and storage medium

Abstract

The invention relates to the field of computers, in particular to the field of artificial intelligence, and provides a video retrieval method, device and equipment and a storage medium to solve the problems of low quantification efficiency and low accuracy. The method comprises the steps of performing feature extraction on image features of a to-be-retrieved video to obtain a first quantitative feature, then obtaining a second candidate video with high category similarity with the to-be-retrieved video based on the first quantitative feature, and finally taking the second candidate video with high content similarity with the to-be-retrieved video as a target video. According to the texture feature loss value corresponding to each training sample, a quantization control parameter is adjusted, so that the target quantization processing sub-model learns the sorting capability of the target texture feature sub-model, it is ensured that the sorting effects of the two sub-models tend to be consistent, and the end-to-end model architecture has high efficiency. The target quantization processing sub-model can obtain the corresponding quantization features based on the image features, and the generation accuracy of the quantization features and the recall performance of video retrieval are improved.

Description

technical field [0001] The present application relates to the field of computers, in particular to the field of artificial intelligence, and provides a video retrieval method, device, equipment and storage medium. Background technique [0002] In related technologies, quantitative features are usually used as index tags of videos, and corresponding videos are retrieved. Among them, any of the following methods is generally used to obtain the corresponding quantitative features: [0003] The first method is to obtain corresponding quantitative features based on the k-means clustering algorithm. However, when clustering large-scale sample data, in order to ensure the accuracy of index retrieval, it takes a lot of resources to obtain enough quantitative features; [0004] The second method is to obtain corresponding quantitative features based on Product Quantization (PQ). However, the quantitative features obtained by this method will reduce the accuracy of quantitative featu...

AI Technical Summary

Problems solved by technology

[0006] The embodiment of the present application provides a video retrieval method, device, equipment and storage medium to solve the problems of low quantization efficiency and low accuracy

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