A Biomorphic Model of Cortical Column for Content—Based Image Retrieval

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...

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Autores principales:	Alexander Telnykh, Irina Nuidel, Olga Shemagina, Vladimir Yakhno
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	biomorphic modeling content-based image retrieval recognition cascade detection adaptive boosting Science Q Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/afd5c6dd49fb433ba51e290304e32fa2
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id	oai:doaj.org-article:afd5c6dd49fb433ba51e290304e32fa2
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spelling	oai:doaj.org-article:afd5c6dd49fb433ba51e290304e32fa22021-11-25T17:29:49ZA Biomorphic Model of Cortical Column for Content—Based Image Retrieval10.3390/e231114581099-4300https://doaj.org/article/afd5c6dd49fb433ba51e290304e32fa22021-11-01T00:00:00Zhttps://www.mdpi.com/1099-4300/23/11/1458https://doaj.org/toc/1099-4300How 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.Alexander TelnykhIrina NuidelOlga ShemaginaVladimir YakhnoMDPI AGarticlebiomorphic modelingcontent-based image retrievalrecognitioncascade detectionadaptive boostingScienceQAstrophysicsQB460-466PhysicsQC1-999ENEntropy, Vol 23, Iss 1458, p 1458 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	biomorphic modeling content-based image retrieval recognition cascade detection adaptive boosting Science Q Astrophysics QB460-466 Physics QC1-999
spellingShingle	biomorphic modeling content-based image retrieval recognition cascade detection adaptive boosting Science Q Astrophysics QB460-466 Physics QC1-999 Alexander Telnykh Irina Nuidel Olga Shemagina Vladimir Yakhno A Biomorphic Model of Cortical Column for Content—Based Image Retrieval
description	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.
format	article
author	Alexander Telnykh Irina Nuidel Olga Shemagina Vladimir Yakhno
author_facet	Alexander Telnykh Irina Nuidel Olga Shemagina Vladimir Yakhno
author_sort	Alexander Telnykh
title	A Biomorphic Model of Cortical Column for Content—Based Image Retrieval
title_short	A Biomorphic Model of Cortical Column for Content—Based Image Retrieval
title_full	A Biomorphic Model of Cortical Column for Content—Based Image Retrieval
title_fullStr	A Biomorphic Model of Cortical Column for Content—Based Image Retrieval
title_full_unstemmed	A Biomorphic Model of Cortical Column for Content—Based Image Retrieval
title_sort	biomorphic model of cortical column for content—based image retrieval
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/afd5c6dd49fb433ba51e290304e32fa2
work_keys_str_mv	AT alexandertelnykh abiomorphicmodelofcorticalcolumnforcontentbasedimageretrieval AT irinanuidel abiomorphicmodelofcorticalcolumnforcontentbasedimageretrieval AT olgashemagina abiomorphicmodelofcorticalcolumnforcontentbasedimageretrieval AT vladimiryakhno abiomorphicmodelofcorticalcolumnforcontentbasedimageretrieval AT alexandertelnykh biomorphicmodelofcorticalcolumnforcontentbasedimageretrieval AT irinanuidel biomorphicmodelofcorticalcolumnforcontentbasedimageretrieval AT olgashemagina biomorphicmodelofcorticalcolumnforcontentbasedimageretrieval AT vladimiryakhno biomorphicmodelofcorticalcolumnforcontentbasedimageretrieval
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A Biomorphic Model of Cortical Column for Content—Based Image Retrieval

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