Video image data retrieval method and device, apparatus and storage medium

Abstract

The invention relates to a video image data retrieval method and device, an apparatus and a storage medium. The method comprises the steps of obtaining a picture retrieval database and a training database; performing clustering training on the feature data in the training database to generate a preset number of data buckets, and determining a clustering center of each data bucket; calculating thedistance between each piece of feature data in the picture retrieval database and each clustering center, and adding each piece of feature data in the picture retrieval database into the correspondingdata bucket according to a first distance rule to determine an inverted index table; calculating the distance between the feature matrix of the to-be-retrieved picture and each clustering center, anddetermining a target data bucket according to a second distance rule; and based on the inverted index table, calculating the distance between the feature vector matrix of the to-be-retrieved pictureand the clustering center of the target data bucket, and determining a picture similar to the to-be-retrieved picture as a retrieval result according to a retrieval rule, so that the performance and the efficiency of the video image data retrieval are improved.

Description

technical field [0001] The invention relates to the technical field of image data retrieval, in particular to a video image data retrieval method, device, equipment and storage medium. Background technique [0002] With the rapid development of the Internet, large-scale video image data is becoming more and more common in search engines and social networks, and has also attracted great attention to solutions including smart communities, smart security and AI (Artificial Intelligence, artificial intelligence) cities. In addition, with the continuous increase of human and urban video image resources, the scale of video image data is getting larger and larger. [0003] In the related technology, although the processing of large-scale video image data can obtain better clustering effect, the training of the training set during clustering is time-consuming, and the verification of model correctness is complicated and cumbersome; moreover, some deep network models not only need T...

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Problems solved by technology

[0004] In view of this, a video image data retrieval method, device, device, and storage medium are provided to solve the problems of large-scale, high-dimensional, and sparsely distributed video image data in related technologies, such as high retrieval difficulty, poor retrieval performance, and retrieval problems. The problem of inefficiency

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