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Image datablase construction and search algorithm for smart pixel optoelectronic systems

机译:智能像素光电系统的图像数据融合构造和搜索算法

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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 agorithm based on Eigen value de-composition to construct and search video databases, and that can be implemented using smart pixel optoelectronic systems. By successive iterations the images are progresively classified in sets and sugbsets in a tree-type configuration. To evaluate this method, a movie containing 2,262 frames has been analyzed, and a sucessful classification of these images in function of their contents was obtained. The realization of this algotihm on a semart pixel system called OCULAR-II~1 is also discussed, and a demonstration of the database search algotihm on the OCULAR-II system is described.
机译:数字图像内容的飞速增长需要开发在电影数据库中对视频序列进行分类或快速搜索的方法。在本文中,我们提出了一种基于特征值分解的新颖算法来构建和搜索视频数据库,并且可以使用智能像素光电系统来实现。通过连续的迭代,将图像按树型配置按类别和类别逐步进行分类。为了评估该方法,已经分析了包含2,262帧的电影,并且根据这些图像的内容对这些图像进行了成功分类。还讨论了该算法在名为OCULAR-II〜1的智能像素系统上的实现,并介绍了在OCULAR-II系统上进行数据库搜索算法的演示。

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