Image searching method and system, client side and server

Abstract

The invention provides image searching method and system and a client side and a server, wherein the image searching method comprises the steps: the client side obtains a target image to be searched and first relevance information aiming at the target image, sends the first relevance information to the server, and obtains a vision word of the target image; the server searches a vision word dictionary in a vision word dictionary library inside the server based on the first relevance information, and sends the vision word dictionary to the client side; the client side obtains a target vision word based on the vision word dictionary sent by the server and sends the target vision word to the server; and the client side receives the target vision word, searches more than one result image corresponding to the target vision word and relevant expansion information and sends the result image and the relevant expansion information to the client side. The image searching method shortens the searching waiting time of a client, improves the searching performance and the efficiency and can be suitable for various fields.

Description

technical field [0001] The present invention relates to the technical field of picture recognition and search, in particular to a picture search method, a picture search system, a client and a server. Background technique [0002] Currently, text-based video and picture retrieval technologies are very mature. However, because some pictures cannot be accurately described in words, many error messages or information not required by the user appear in the text search results. In recent years, a large number of research results on visual retrieval methods, that is, directly using images to search, have emerged at home and abroad, but the retrieval results of visual retrieval technology are still unsatisfactory, especially for the retrieval of massive image databases. Due to the large number of images in the database, the application Image retrieval technology based entirely on content cannot achieve satisfactory search accuracy and efficiency. [0003] Specifically, the steps ...

AI Technical Summary

Problems solved by technology

The serious problem with the above visual search method is: the amount of data sent by the client to the server is very large

Due to the limitation of the uplink bandwidth of the existing network, it takes a long time for the client to transmit large data to the server, which further leads to a long query response time on the server, which makes image retrieval inefficient

That is, the data transmission time from the client to the server seriously affects the query response time of the retrieval system, and the long waiting time of the user seriously reduces the actual application of the user.

In addition, the content-based image retrieval method ignores the associated information (such as location information, electronic tag information, etc.) that the image may carry, resulting in a search accuracy that cannot meet user needs, and the above retrieval methods cannot be popularized.

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