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Proceedings Paper

Spatiotemporal indexing of video in the wavelet domain
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Paper Abstract

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 deep 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.

Paper Details

Date Published: 28 December 1998
PDF: 9 pages
Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); doi: 10.1117/12.334664
Show Author Affiliations
Mrinal K. Mandal, Univ. of Ottawa (Canada)
Sethuraman Panchanathan, Arizona State Univ. (United States)

Published in SPIE Proceedings Vol. 3653:
Visual Communications and Image Processing '99
Kiyoharu Aizawa; Robert L. Stevenson; Ya-Qin Zhang, Editor(s)

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