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Proceedings Paper

Image indexing in the JPEG2000 framework
Author(s): Chuping Liu; Mrinal K. Mandal
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Paper Abstract

The application of images and video has increased significantly in recent years. It is crucial to develop indexing techniques for searching images and video based on their content. Recently, several indexing techniques have been proposed in both pixel and compressed domain. Due to its lower computational complexity, compressed domain indexing techniques are becoming popular. Among the compression techniques, discrete-wavelet-transform based techniques have become popular because of its excellent energy compaction and multi-resolution capability. The upcoming JPEG2000 image compression standard is also based on a wavelet coder. In this paper, a progressive bit-plane indexing scheme in the JPEG2000 framework is proposed. Here, a 2D significant0bit- map array and a 2D histogram of significant bits of wavelet coefficients are used as the image indices. Image retrieval is performed by matching the index of the query and candidate images from the database. Experimental results show that the proposed scheme provides a good indexing performance.

Paper Details

Date Published: 11 October 2000
PDF: 9 pages
Proc. SPIE 4210, Internet Multimedia Management Systems, (11 October 2000); doi: 10.1117/12.403811
Show Author Affiliations
Chuping Liu, Univ. of Alberta (Canada)
Mrinal K. Mandal, Univ. of Alberta (Canada)


Published in SPIE Proceedings Vol. 4210:
Internet Multimedia Management Systems
John R. Smith; Chinh Le; Sethuraman Panchanathan; C.-C. Jay Kuo, Editor(s)

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