Salient object-based image retrieval method and system

Abstract

The invention discloses a salient object-based image retrieval method and system. The method comprises the steps of performing saliency detection on a query image containing a salient object to determine a region where the salient object of the query image is located; determining visual features of the region where the salient object of the query image is located; determining a semantic type of the salient object of the query image; performing similarity measurement on the visual features of the salient object of the query image and visual features of salient objects of images with the same semantic type in an image library, and determining the images, meeting a condition that the similarity between the images and the query image is greater than a similarity threshold, in the image library. According to the method and the system, the image retrieval is carried out through the visual features of the region where the salient object of the image is located, so that the background interference is avoided; by determining the semantic type of the salient object of the query image, the images with different semantic types in the image library are filtered, so that the semantic gap of the image retrieval is reduced, the image retrieval complexity is lowered, and the image retrieval accuracy is further improved.

Description

technical field [0001] The invention belongs to the field of image retrieval, and more particularly relates to an image retrieval method and system based on salient objects. Background technique [0002] With the sharp increase in the amount of available image data, the application requirements for image retrieval continue to increase. How to quickly and effectively realize the retrieval of objects of interest from massive image data has been a research hotspot in the field of computer vision in recent years. It is widely used in medicine, remote sensing, social media, e-commerce, transportation, criminal investigation and other fields. Content-based image retrieval can overcome the shortcomings of purely text-based image retrieval in terms of subjectivity and ambiguity, and the description and extraction of image content are the most critical factors that determine the performance of content-based image retrieval. An image mainly includes two parts, the salient object and ...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the defects of the prior art, the purpose of the present invention is to solve the problem that in the existing retrieval methods, when the image semantic categories are the same, the background interference and the semantic gap between the low-level visual features of the image and the high-level semantics will reduce the accuracy of image retrieval. technical problem

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