Target retrieval method and device and storage medium

Abstract

The invention provides a target retrieval method and device and a storage medium, and the method comprises the steps: obtaining original video data from monitoring equipment, and segmenting the original video data, and obtaining a plurality of original video segments; making fusion feature analysis on each original video segment to obtain a fusion feature vector corresponding to each original video segment; importing to-be-retrieved target video data, and segmenting on the to-be-retrieved target video data to obtain a plurality of to-be-retrieved target video segments; and performing fusion feature analysis on each to-be-retrieved target video segment to obtain a to-be-retrieved fusion feature vector corresponding to the to-be-retrieved target video segment. The appearance and facial features of the to-be-retrieved target are fully fused, so that the retrieval accuracy is greatly improved, the manpower is saved, the target is quickly and accurately retrieved in the video, and the requirements of the industry are better met.

Description

technical field [0001] The present invention mainly relates to the technical field of video processing, and in particular relates to a target retrieval method, device and storage medium. Background technique [0002] In recent years, due to the rapid development of related technologies in the communication and Internet industries and the mobility and lightweight of video shooting equipment, the accumulation, dissemination and update speed of video information have experienced explosive growth. Therefore, it becomes very difficult to quickly extract, manage and utilize these unstructured information, and people urgently need an efficient video retrieval system to complete automatic extraction and archiving of video content. Search engines play an irreplaceable role in the modern Internet. According to the statistics of the authoritative Alexa website, the current top 10 websites in global Internet traffic all provide search engine functions. In search engine technology, the...

AI Technical Summary

Problems solved by technology

However, this method is not only slow and costly when faced with a large amount of video information, but also prone to content errors and omissions, because there is an irreparable intention gap in describing images or videos through text, for example, in It is very difficult to track and retrieve specific cross-camera pedestrian targets in natural scenes. At present, it can only be searched and recorded manually, which has the problems of slow speed and low retrieval accuracy.

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