A Method of Mining Salient Features from Multi-Related Images to Realize Image Retrieval

Abstract

The invention discloses a method for mining salient features from a plurality of related pictures to realize image retrieval, which is characterized in that the generation of flexible binary descriptors and feature matching based on the binary descriptors are used to complete the method. The flexible binary descriptor transforms each dimension of the original floating-point image feature into a binary form by comparing with the corresponding reference value of each node of the binary balanced tree; and the feature matching first calculates the feature distance based on the binary descriptor. Then the similarity scores of the normalized features are selected, and the best matching feature pairs are selected in turn, and the salient features in multiple correlation maps can be found from the best matching feature pairs. The number of salient features is small, but it represents the important visual content of the picture. Combining its geometric information for retrieval can get good retrieval results.

Description

technical field [0001] The invention relates to an image retrieval technology, in particular to a content-based image retrieval method at a mobile phone terminal. Background technique [0002] In recent years, mobile phones have experienced explosive development. According to statistics, in 2014, the number of global mobile phone users has reached 4.5 billion, and the number of smart phone users has reached 1.7 billion. For most people, especially young people, mobile phones have become an integral part of life. Compared with computers, they are more inclined to use mobile phones to do many things, such as sharing photos, checking bus routes, and especially surfing the Internet on mobile phones. With the development of smart phones, the functions of built-in cameras of mobile phones are becoming more and more powerful. It can be said that mobile phones have changed the way people take pictures. According to the statistics of Nokia Corporation in 2006, 42% of people in the...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of mining important visual content from related pictures on the mobile phone to realize image retrieval, and the mining of important visual content is usually achieved through feature matching. In view of this, the present invention proposes a method based on flexible binary description The image retrieval is realized by the matching method of descriptor features, and the flexible binary descriptor retains as much information as possible of the original features to accurately distinguish different features

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