Video segmentation in the wavelet domain

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

Automatic video indexing is an important feature in the design of a video databases. Recently, compressed domain techniques have become popular due their inherent advantages of efficiency and reduced complexity. Wavelet transform is emerging as a powerful tool for efficient compression of visual information. A variety of wavelet based video compression techniques have been reported in the literature. However, there has been little work done in the area of video indexing in the wavelet domain. In this paper, we present video segmentation techniques in a wavelet based compression framework. These techniques employ wavelet coefficients, their distribution, and the motion vectors estimated by the associated video coder. Simulation result shows that the proposed techniques provide a good indexing performance at a low complexity.

Original languageEnglish (US)
Pages (from-to)262-270
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3527
DOIs
StatePublished - Dec 1 1998
EventMultimedia Storage and Archiving Systems III - Boston, MA, United States
Duration: Nov 2 1998Nov 4 1998

Keywords

  • Content-Based Retrieval
  • Indexing
  • Motion Vectors
  • Video Segmentation
  • Wavelets

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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