Region based indexing in the JPEG2000 framework

J. Bhalod, G. F. Fahmy, Sethuraman Panchanathan

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations

Abstract

The increased amount of visual data in several applications necessitates sophisticated indexing techniques for retrieval based on the image content. The recent JPEG2000 standard addresses the need for content based coding and manipulation of visual media. Future multimedia databases are expected to store images in the JPEG2000 format. Hence, it is crucial to develop indexing and retrieval systems that operate in the framework. Several content based indexing techniques have been proposed in the wavelet domain which is the technique of choice in the JPEG2000 standard. However, most of these techniques rely on extracting low level features such as color, texture and shape that represent the global image content. In this paper, we propose a region based indexing technique in the JPEG2000 framework. Specific regions of interest (ROI) (which insure the reconstructed quality in the image) are tracked and analyzed through different layers of the wavelet transform in the coding process. Shape features are extracted from the ROI sketch in the uncompressed domain. Texture and color features are extracted in the compressed domain at different wavelet resolutions corresponding to these regions. Indexing and retrieval are based on a combination of these features. Extensive simulations have been performed in the JPEG2000 framework. Experimental results demonstrate that compared to the exiting wavelet based indexing approaches the proposed scheme has superior performance.

Original languageEnglish (US)
Pages (from-to)91-96
Number of pages6
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4519
DOIs
StatePublished - Jan 1 2001
EventInternet Multimedia Management Systems II - Denver, CO, United States
Duration: Aug 23 2001Aug 23 2001

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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