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1 November 1996 Progressive texture matching for Earth-observing satellite image database
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Proceedings Volume 2916, Multimedia Storage and Archiving Systems; (1996)
Event: Photonics East '96, 1996, Boston, MA, United States
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chung-Sheng Li and Ming-Syan Chen "Progressive texture matching for Earth-observing satellite image database", Proc. SPIE 2916, Multimedia Storage and Archiving Systems, (1 November 1996);

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