Image indexing in the JPEG2000 framework

Chuping Liu; Mrinal K. Mandal

doi:10.1117/12.403811

11 October 2000 Image indexing in the JPEG2000 framework

Chuping Liu, Mrinal K. Mandal

Proceedings Volume 4210, Internet Multimedia Management Systems; (2000) https://doi.org/10.1117/12.403811
Event: Information Technologies 2000, 2000, Boston, MA, United States

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.

Citation Download Citation

Chuping Liu and Mrinal K. Mandal "Image indexing in the JPEG2000 framework", Proc. SPIE 4210, Internet Multimedia Management Systems, (11 October 2000); https://doi.org/10.1117/12.403811

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