A Relevance Feedback Method Based on Interest Region Detection in Image Retrieval System#br#

doi:10.3969/j.issn.1006-2475.2015.01.015

Abstract

Abstract: This paper proposed a relevance feedback approach in image retrieve system. The approach is based on the detection of interest region of the query user. This approach makes use of the positively relevant images which are labeled by user and learn the user intention of the query so that the return images satisfy the user better. This approach can be divided into 3 steps: 1) match the features of positively relevant images to those of the query image; 2) verify the matched points using RANSAC model; 3) select the interest region according to the verified points. As the interest region has been selected, one can use this region or put more weight on the features in this region as a new query image. The results of the experiments show that this approach can improve the precise of the retrieval and return images that satisfy the user better.

Key words: relevance feedback, region detection, image retrieval

CLC Number:

TP393

WANG Meng-lei. A Relevance Feedback Method Based on Interest Region Detection in Image Retrieval System#br#[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2015.01.015.

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