Image and video indexing in the compressed domain

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

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

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
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3229
DOIs
StatePublished - Dec 1 1997
Externally publishedYes
EventMultimedia Storage and Archiving Systems II - Dallas, TX, United States
Duration: Nov 3 1997Nov 3 1997

Keywords

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

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Image and video indexing in the compressed domain'. Together they form a unique fingerprint.

Cite this