Chapter 16. Compressed or Progressive Image Search

  1. Vittorio Castelli and
  2. Lawrence D. Bergman
  1. Sethuraman Panchanathan

Published Online: 7 APR 2002

DOI: 10.1002/0471224634.ch16

Image Databases: Search and Retrieval of Digital Imagery

Image Databases: Search and Retrieval of Digital Imagery

How to Cite

Panchanathan, S. (2001) Compressed or Progressive Image Search, in Image Databases: Search and Retrieval of Digital Imagery (eds V. Castelli and L. D. Bergman), John Wiley & Sons, Inc., New York, USA. doi: 10.1002/0471224634.ch16

Editor Information

  1. IBM T.J. Watson Research Center

Author Information

  1. Arizona State University, Department of Computer Sciences and Engineering, P.O. Box 875406, Tempe, AZ 85287-5406

Publication History

  1. Published Online: 7 APR 2002
  2. Published Print: 7 DEC 2001

ISBN Information

Print ISBN: 9780471321163

Online ISBN: 9780471224631

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Keywords:

  • compressed image search;
  • progressive image search;
  • image indexing;
  • compressed domain

Summary

The focus of this chapter is indexing of image data. These techniques can often be applied to video indexing as well. The chapter analyzes and compares image-indexing techniques for compression based on the discrete Fourier transform (DFT), the Karhunen-Loeve transform (KLT), the discrete cosine transform (DCT), wavelet and subband coding transforms, vector quantization, fractal compression, and hybrid compression.