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Texture Image Database Retrieval Using JPEG-2000 Partial Entropy Decoding  

Park, Ha-Joong (영남대학교 정보통신공학과 멀티미디어 신호처리 연구실)
Jung, Ho-Youl (영남대학교 정보통신공학과 멀티미디어 신호처리 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.32, no.5C, 2007 , pp. 496-512 More about this Journal
Abstract
In this paper, we propose a novel JPEG-2000 compressed image retrieval system using feature vector extracted through partial entropy decoding. Main idea of the proposed method is to utilize the context information that is generated during entropy encoding/decoding. In the framework of JPEG-2000, the context of a current coefficient is determined depending on the pattern of the significance and/or the sign of its neighbors in three bit-plane coding passes and four coding modes. The contexts provide a model for estimating the probability of each symbol to be coded. And they can efficiently describe texture images which have different pattern because they represent the local property of images. In addition, our system can directly search the images in the JPEG-2000 compressed domain without full decompression. Therefore, our proposed scheme can accelerate the work of retrieving images. We create various distortion and similarity image databases using MIT VisTex texture images for simulation. we evaluate the proposed algorithm comparing with the previous ones. Through simulations, we demonstrate that our method achieves good performance in terms of the retrieval accuracy as well as the computational complexity.
Keywords
JPEG-2000; Content-based Image Retrieval; Texture Pattern; Context Information; Distortion Image; Retrieval Time;
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Times Cited By KSCI : 1  (Citation Analysis)
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