A Biomorphic Model of Cortical Column for Content—Based Image Retrieval |
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| Authors: | Alexander Telnykh Irina Nuidel Olga Shemagina Vladimir Yakhno |
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| Institution: | 1.Autowave Processes Laboratory, Department of Radiophysical Methods in Medicine, Federal Research Center Institute of Applied Physics of the Russian Academy of Sciences (IAP RAS), 603950 Nizhny Novgorod, Russia; (A.T.); (O.S.); (V.Y.);2.Neurotechnologies Department of the Institute of Biology and Biomedicine, Lobachevsky State University of Nizhny Novgorod (UNN), 603022 Nizhny Novgorod, Russia |
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| Abstract: | How do living systems process information? The search for an answer to this question is ongoing. We have developed an intelligent video analytics system. The process of the formation of detectors for content-based image retrieval aimed at detecting objects of various types simulates the operation of the structural and functional modules for image processing in living systems. The process of detector construction is, in fact, a model of the formation (or activation) of connections in the cortical column (structural and functional unit of information processing in the human and animal brain). The process of content-based image retrieval, that is, the detection of various types of images in the developed system, reproduces the process of “triggering” a model biomorphic column, i.e., a detector in which connections are formed during the learning process. The recognition process is a reaction of the receptive field of the column to the activation by a given signal. Since the learning process of the detector can be visualized, it is possible to see how a column (a detector of specific stimuli) is formed: a face, a digit, a number, etc. The created artificial cognitive system is a biomorphic model of the recognition column of living systems. |
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| Keywords: | biomorphic modeling content-based image retrieval recognition cascade detection adaptive boosting |
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