A target retrieval method, device and storage medium

Abstract

The present invention provides a target retrieval method, device and storage medium. The method includes: acquiring original video data from monitoring equipment, and dividing the original video data to obtain multiple original video segments; respectively merging the original video segments Feature analysis to obtain a fusion feature vector corresponding to each original video segment; import the target video data to be retrieved, and perform segmentation processing on the target video data to be retrieved to obtain multiple target video segments to be retrieved; The fusion feature analysis is performed to obtain the fusion feature vector to be retrieved corresponding to the target video segment to be retrieved. The invention fully integrates the shape and facial features of the target to be retrieved, so that the retrieval accuracy is greatly improved, manpower is saved, the retrieval target in the video can be quickly and accurately achieved, and the needs 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, as well as the mobilization and weight reduction of video shooting equipment, the accumulation, dissemination and update speed of video information has exploded. Therefore, it is very difficult to quickly extract, manage and utilize these unstructured information, and an efficient video retrieval system is urgently needed to complete the 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 top 10 websites in the current global Internet traffic all provide search engine functions. In search engine technology, the mo...

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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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