Image retrieval method and device, computer readable storage medium and computing equipment

Abstract

The embodiment of the invention discloses an image retrieval method and device, electronic equipment and a computer readable medium. The method comprises the steps of obtaining a to-be-retrieved image; determining image information of the to-be-retrieved image, wherein the image information of the to-be-retrieved image comprises type information of at least one detection target in the to-be-retrieved image and / or quality information of the at least one detection target; determining a matching retrieval dependency relationship matched with the image information of the to-be-retrieved image, wherein the matching retrieval dependency relationship comprises at least one sub-retrieval, and the sub-retrieval is provided with a query image and a retrieval theme library corresponding to the sub-retrieval; and performing the sub-retrieval included in the matching dependency relationship. In this way, the retrieval intention of the user can be recognized to the maximum extent according to the image information of the to-be-retrieved image.

Description

technical field [0001] The present invention relates to the technical field of image retrieval, in particular to an image retrieval method, device and system. Background technique [0002] With the rapid development of Internet technology and the rapid popularization of mobile terminals, multimedia information (such as video, images, etc.) plays an increasingly important role in people's lives. As a representative of the multimedia application field, the proportion of image retrieval in the field of information retrieval is also increasing. The huge amount of information contained in images can help people obtain interesting information in the shortest time through the most intuitive means. The research on image retrieval also plays a very important role in many application fields such as urban management and traffic management. With the development and popularization of new smart cities and neural network-based graphic target detection and recognition algorithms, the vide...

AI Technical Summary

Problems solved by technology

However, one search cannot meet the needs of users. For example, the image to be retrieved contains the back of the human body. Although the frontal image of the human body may be retrieved in one search, the user may want to retrieve the face image or other information, which requires the user to continuously intervene in the search. In order to get the desired search results, you need to repeatedly switch between different search entries and perform multiple searches.

In addition, since multiple retrieval operations are fragmented, it is impossible to use multiple retrieval results for comprehensive ranking

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