Spatio-temporal indexing of video in the wavelet domain

M. K. Mandal, S. Panchanathan

Research output: Contribution to journalConference articlepeer-review


Automatic video indexing is an important feature in video database applications. Several techniques have appeared in recent literature for detecting object motion and camera operations present in a video. However, most of these techniques operate in the spatial domain. Since, video is likely to be stored in compressed form, it is crucial to develop detection techniques which can operate on the compressed data. Wavelet transform has recently emerged as a powerful tool for efficient compression and indexing. In this paper, we present a technique for temporal indexing using multiresolution motion vectors in a wavelet framework. We note that several approaches for indexing the spatial content of video have already been proposed in the literature. A combination of spatial and temporal indices constitutes a spatio-temporal index of video in the wavelet domain.

Original languageEnglish (US)
Pages (from-to)1542-1550
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Issue numberII
StatePublished - Jan 1 1999
Externally publishedYes
EventProceedings of the 1999 Visual Communications and Image Processing - San Jose, CA, USA
Duration: Jan 25 1999Jan 27 1999

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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