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Proceedings Paper

Progressive texture matching for Earth-observing satellite image database
Author(s): Chung-Sheng Li; Ming-Syan Chen
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Paper Abstract

Content-based indexing of images and videos based on texture features is a powerful mechanism to retrieve images and video scenes. However, the feature extraction process from these images and video is time consuming and is not suitable for interactive query processing. A progressive texture extraction and matching algorithm is proposed and evaluated in this paper. This algorithm takes advantage of the multi- resolution lower than the full resolution of an image or video, the proposed algorithm performs the feature extraction and matching hierarchically. Only those regions matched to the target template at a lower resolution level will be further compared at a higher resolution. The computation speed of this algorithm is shown to be significantly improved over conventional algorithms while maintaining the same accuracy.

Paper Details

Date Published: 1 November 1996
PDF: 12 pages
Proc. SPIE 2916, Multimedia Storage and Archiving Systems, (1 November 1996); doi: 10.1117/12.257285
Show Author Affiliations
Chung-Sheng Li, IBM Thomas J. Watson Research Ctr. (United States)
Ming-Syan Chen, IBM Thomas J. Watson Research Ctr. (United States)

Published in SPIE Proceedings Vol. 2916:
Multimedia Storage and Archiving Systems
C.-C. Jay Kuo, Editor(s)

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