Image and video indexing in the compressed domain

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

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Image and video indexing techniques are crucial in multimedia applications. A number of the indexing techniques which 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. In addition, temporal indexing techniques using motion vectors are also discussed.

Original languageEnglish (US)
Pages (from-to)2-13
Number of pages12
JournalUnknown Journal
Volume3229
DOIs
StatePublished - 1997
Externally publishedYes

Fingerprint

Cosine transforms
Image Indexing
Video Indexing
Wavelet Analysis
Multimedia
Vector quantization
Fourier Analysis
Fourier transforms
Pixels
Indexing
Transform
vector quantization
multimedia
Motion Vector
Vector Quantization
Multimedia Applications
pixels
Proliferation
Fourier transform
Wavelets

Keywords

  • Compressed domain indexing
  • Discrete cosine transform
  • Image and video indexing
  • Vector Quantization
  • Wavelets

ASJC Scopus subject areas

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

Cite this

Image and video indexing in the compressed domain. / Mandal, M. K.; Idris, F.; Panchanathan, Sethuraman.

In: Unknown Journal, Vol. 3229, 1997, p. 2-13.

Research output: Contribution to journalArticle

Mandal, M. K. ; Idris, F. ; Panchanathan, Sethuraman. / Image and video indexing in the compressed domain. In: Unknown Journal. 1997 ; Vol. 3229. pp. 2-13.
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