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Proceedings Paper

Mosaic-based video compression
Author(s): Michal Irani; Stephen Hsu; P. Anandan
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Paper Abstract

We describe a technique for video compression, based on a mosaic image representation obtained from all frames in a scene sequence, giving a panoramic view of the scene. We describe two types of mosaics, static and dynamic, which are suited for storage and transmission applications, respectively. In each case, the mosaic construction process aligns the images using a global parametric motion transformation, usually canceling the effect of camera motion on the dominant portion of the scene. The residual motions that are not compensated by the parametric motion are then analyzed for their significance and coded. The mosaic representation exploits large scale spatial and temporal correlations in image sequences. In many applications where there is significant camera motion (e.g., remote surveillance), it performs substantially better than traditional interframe compression methods, and offers the potential for very low bitrate transmission. In storage applications, such as digital libraries and video editing environments, it has the additional benefit of enabling direct access and retrieval of single frames at a time.

Paper Details

Date Published: 17 April 1995
PDF: 12 pages
Proc. SPIE 2419, Digital Video Compression: Algorithms and Technologies 1995, (17 April 1995); doi: 10.1117/12.206363
Show Author Affiliations
Michal Irani, David Sarnoff Research Ctr. (United States)
Stephen Hsu, David Sarnoff Research Ctr. (United States)
P. Anandan, David Sarnoff Research Ctr. (United States)

Published in SPIE Proceedings Vol. 2419:
Digital Video Compression: Algorithms and Technologies 1995
Arturo A. Rodriguez; Robert J. Safranek; Edward J. Delp, Editor(s)

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