Abstract

The search for visual information in large mass of multimedia data has become essential with the digital evolution. This sparked a need for development of information search techniques by visual content; the performance of such a search system depends largely on the choice of descriptors and technical employees of their extractions. In our work, we present techniques for extracting local and global descriptors applied to two bases of different images, with a connection between the global and local descriptors approach, performed on the two bases of images, followed by a comparative study of different methods used.

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