Critical evaluation of image and video indexing techniques in the compressed domain

M. K. Mandal, F. Idris, Sethuraman Panchanathan

Research output: Contribution to journalArticle

124 Citations (Scopus)

Abstract

Image and video indexing techniques are crucial in multimedia applications. A number of indexing techniques that operate in the pixel domain have been reported in the literature. The advent of compression standards has led to the proliferation of indexing techniques in the compressed domain. In this paper, we present a critical review of the compressed domain indexing techniques proposed in the literature. These include transform domain techniques using Fourier transform, cosine transform, Karhunen-Loeve transform, Subbands and wavelets, and spatial domain techniques using vector quantization and fractals. In addition, temporal indexing techniques using motion vectors are also discussed.

Original languageEnglish (US)
Pages (from-to)513-529
Number of pages17
JournalImage and Vision Computing
Volume17
Issue number7
DOIs
StatePublished - May 1999

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Cosine transforms
Vector quantization
Fractals
Fourier transforms
Pixels

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Critical evaluation of image and video indexing techniques in the compressed domain. / Mandal, M. K.; Idris, F.; Panchanathan, Sethuraman.

In: Image and Vision Computing, Vol. 17, No. 7, 05.1999, p. 513-529.

Research output: Contribution to journalArticle

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