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Content-Based Image Retrieval Algorithm Using HAQ Algorithm and Moment-Based Feature  

김대일 (동아대학교 전자공학과)
강대성 (동아대학교 전자공학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.4, 2004 , pp. 113-120 More about this Journal
Abstract
In this paper, we propose an efficient feature extraction and image retrieval algorithm for content-based retrieval method. First, we extract the object using Gaussian edge detector for input image which is key frames of MPEG video and extract the object features that are location feature, distributed dimension feature and invariant moments feature. Next, we extract the characteristic color feature using the proposed HAQ(Histogram Analysis md Quantization) algorithm. Finally, we implement an retrieval of four features in sequence with the proposed matching method for query image which is a shot frame except the key frames of MPEG video. The purpose of this paper is to propose the novel content-based image retrieval algerian which retrieves the key frame in the shot boundary of MPEG video belonging to the scene requested by user. The experimental results show an efficient retrieval for 836 sample images in 10 music videos using the proposed algorithm.
Keywords
content-based retrieval; moments feature; HAQ algorithm; MPEG video;
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Times Cited By KSCI : 2  (Citation Analysis)
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