Paper
28 December 1998 Spatiotemporal indexing of video in the wavelet domain
Author Affiliations +
Proceedings Volume 3653, Visual Communications and Image Processing '99; (1998) https://doi.org/10.1117/12.334664
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mrinal K. Mandal and Sethuraman Panchanathan "Spatiotemporal indexing of video in the wavelet domain", Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); https://doi.org/10.1117/12.334664
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Video

Wavelets

Cameras

Video compression

Zoom lenses

Discrete wavelet transforms

Video coding

RELATED CONTENT

Video segmentation in the wavelet domain
Proceedings of SPIE (October 05 1998)
A new video codec based on 3D DTCWT and vector...
Proceedings of SPIE (October 01 2011)
Fully scalable video coding with packed stream
Proceedings of SPIE (March 14 2005)
Subjective quality evaluation of low-bit-rate video
Proceedings of SPIE (June 08 2001)
Image compression with Iris-C
Proceedings of SPIE (May 06 2009)

Back to Top