Paper
24 May 2000 Image database construction and search algorithm for smart pixel optoelectronic systems
Daisuke Kawamata, Makoto Naruse, Idaku Ishii, Masatoshi Ishikawa
Author Affiliations +
Proceedings Volume 4089, Optics in Computing 2000; (2000) https://doi.org/10.1117/12.386903
Event: 2000 International Topical Meeting on Optics in Computing (OC2000), 2000, Quebec City, Canada
Abstract
The extraordinary increase of digital image contents requires the development of methods to classify or quickly search video sequences in movie databases. In this paper, we suggest a novel algorithm based on Eigen value decomposition to construct and search video databases, and that can be implemented using smart pixel optoelectronic systems. By successive iterations the images are progressively classified in sets and subsets in a tree-type configuration. To evaluate this method, a movie containing 2,262 frames has been analyzed, and a successful classification of these images in function of their contents was obtained. The realization of this algorithm on a smart pixel system called OCULAR-II is also discussed, and a demonstration of the database search algorithm on the OCULAR-II system is described.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daisuke Kawamata, Makoto Naruse, Idaku Ishii, and Masatoshi Ishikawa "Image database construction and search algorithm for smart pixel optoelectronic systems", Proc. SPIE 4089, Optics in Computing 2000, (24 May 2000); https://doi.org/10.1117/12.386903
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KEYWORDS
Databases

Optoelectronics

Computing systems

Image compression

Optical storage

Video

Computer architecture

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