Method for realizing image retrieval by mining distinguishing features from multiple relevant pictures

Abstract

The invention discloses a method for realizing image retrieval by mining distinguishing features from multiple relevant pictures. The method is characterized in that the method is finished by the generation of a flexible binary descriptor and feature matching on the basis of the binary descriptor. The flexible binary descriptor compares each dimension of an original floating-point type image feature with a corresponding reference value of each knot of a binary balance tree so as to convert the original floating-point type image feature into a binary form; and the feature matching firstly calculates similarity among features on the basis of the binary descriptor and then carries out normalization on the similarity scores of the features to successively select optimal-matching feature pairs, and the distinguishing features in the multiple relevant pictures can be found through the optimal-matching feature pairs. Although an amount of the distinguishing features is small, the distinguishing features represent the important visual content of the picture, the geometrical information of the picture is combined for retrieval, and therefore, a good retrieval result can be obtained.

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

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