Image database construction and search algorithm for smart pixel optoelectronic systems

被引：0
|
作者：
Kawamata, D [1 ]
Naruse, M [1 ]
Ishii, I [1 ]
Ishikawa, M [1 ]
机构：
[1] Univ Tokyo, Grad Sch Engn, Dept Math Engn & Informat Phys, Bunkyo Ku, Tokyo 113, Japan
来源：
OPTICS IN COMPUTING 2000 | 2000年 / 4089卷
关键词：
image database; image indexing; optoelectronic computing;
D O I：
10.1117/12.386903
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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-II1 is also discussed, and a demonstration of the database search algorithm on the OCULAR-II system is described.
引用
收藏
页码：797 / 805
页数：3
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