Geodesic
Content-based image retrieval in databases and Internet
Informacionnye tehnologii i vyčislitelnye sistemy, no. 2 (2013), pp. 88-95.

Voir la notice de l'article provenant de la source Math-Net.Ru

The article deals with an information model of the content-based image retrieval system. Database architecture is proposed to be constructed using the algebra of completed and closed groups — elements of the theory of active perception. The algorithms can find not only original images but also noisy, edited and corrupted ones. There is a search for similar images, which can compete with the existing methods of image retrieval on the Internet on the reliability and performance. The experimental results are obtained for a random image database of about 10 million objects.
Keywords: theory of active perception, CBIR, recognition, computer vision. 
@article{ITVS_2013_2_a9,
     author = {I. E. Desyatnikov},
     title = {Content-based image retrieval in databases and {Internet}},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {88--95},
     publisher = {mathdoc},
     number = {2},
     year = {2013},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2013_2_a9/}
}
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I. E. Desyatnikov. Content-based image retrieval in databases and Internet. Informacionnye tehnologii i vyčislitelnye sistemy, no. 2 (2013), pp. 88-95. http://geodesic.mathdoc.fr/item/ITVS_2013_2_a9/