An approach to compressed image retrieval based on JPEG2000 framework

Authors:
Jianguo Tang;Wenyin Zhang;Chao Li
Affiliations:
Chengdu University of Information Technology, P.R. China;Chengdu University of Information Technology, P.R. China;Chengdu University of Information Technology, P.R. China
Venue:
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Year:
2005

Citing 5
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Fast image indexing based on JPEG2000 packet header

MULTIMEDIA '01 Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval
JPEG2000: the upcoming still image compression standard

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Extracting Shape Features in JPEG-2000 Compressed Images

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Block-Based, Memory-Efficient JPEG2000 Images Indexing in Compressed-Domain

SSIAI '02 Proceedings of the Fifth IEEE Southwest Symposium on Image Analysis and Interpretation
WaveGuide: a joint wavelet-based image representation and description system

IEEE Transactions on Image Processing

Texture-based medical image retrieval in compressed domain using compressive sensing

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Abstract

As the latest effort by JPEG in international standardization of still image compression, JPEG2000 contains a range of important functionalities superior to its earlier DCT based versions. In the expectation that the compression standard will become an important digital format for many images and photographs, we present our recent work in this paper on image indexing and retrieval directly in wavelets domain, which is suitable for JPEG2000 compressed image retrieval without involving its full decompression. Our methods mainly extract histogram features from those significant wavelet coefficients according to the EBCOT of JPEG2000 for compressed image retrieval. While our method gains the advantage of eliminating decompression, the experiments also support that the retrieving accuracy is better than the existing counterparts.