New Feature Descriptors for Content Based Image Retrieval: Development of New Feature Descriptors for Content Based Image Retrieval - Couverture souple
Synopsis
The proliferation of high quality and economical image sensors has precipitated renewed interest in the research community for developing efficient techniques to handle a large database. The concept of image retrieval came into existence and has been an active area of research aimed at addressing two major issues viz., database management and computer vision.The visual content descriptors are either global or local. A global descriptor represents the visual features of the whole image, whereas a local descriptor represents the visual features of regions or objects to describe the image. Further, these are subdivided into two categories, spatial and transform domain-based features. The approach makes use of pixels (a group of adjacent pixels) or gray values and the other makes use of transformed data of the gray image for feature calculation.
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New Feature Descriptors for Content Based Image Retrieval
Edité par
LAP LAMBERT Academic Publishing Okt 2020, 2020
ISBN 10 : 6202919418
ISBN 13 : 9786202919418
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The proliferation of high quality and economical image sensors has precipitated renewed interest in the research community for developing efficient techniques to handle a large database. The concept of image retrieval came into existence and has been an active area of research aimed at addressing two major issues viz., database management and computer vision.The visual content descriptors are either global or local. A global descriptor represents the visual features of the whole image, whereas a local descriptor represents the visual features of regions or objects to describe the image. Further, these are subdivided into two categories, spatial and transform domain-based features. The approach makes use of pixels (a group of adjacent pixels) or gray values and the other makes use of transformed data of the gray image for feature calculation. 228 pp. Englisch. N° de réf. du vendeur 9786202919418
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New Feature Descriptors for Content Based Image Retrieval
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202919418
ISBN 13 : 9786202919418
Neuf
Couverture souple
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New Feature Descriptors for Content Based Image Retrieval | Development of New Feature Descriptors for Content Based Image Retrieval
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202919418
ISBN 13 : 9786202919418
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. New Feature Descriptors for Content Based Image Retrieval | Development of New Feature Descriptors for Content Based Image Retrieval | K. Prasanthi Jasmine (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202919418 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 119315156
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New Feature Descriptors for Content Based Image Retrieval
Edité par
LAP LAMBERT Academic Publishing Okt 2020, 2020
ISBN 10 : 6202919418
ISBN 13 : 9786202919418
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The proliferation of high quality and economical image sensors has precipitated renewed interest in the research community for developing efficient techniques to handle a large database. The concept of image retrieval came into existence and has been an active area of research aimed at addressing two major issues viz., database management and computer vision.The visual content descriptors are either global or local. A global descriptor represents the visual features of the whole image, whereas a local descriptor represents the visual features of regions or objects to describe the image. Further, these are subdivided into two categories, spatial and transform domain-based features. The approach makes use of pixels (a group of adjacent pixels) or gray values and the other makes use of transformed data of the gray image for feature calculation.Books on Demand GmbH, Überseering 33, 22297 Hamburg 228 pp. Englisch. N° de réf. du vendeur 9786202919418
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New Feature Descriptors for Content Based Image Retrieval : Development of New Feature Descriptors for Content Based Image Retrieval
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202919418
ISBN 13 : 9786202919418
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The proliferation of high quality and economical image sensors has precipitated renewed interest in the research community for developing efficient techniques to handle a large database. The concept of image retrieval came into existence and has been an active area of research aimed at addressing two major issues viz., database management and computer vision.The visual content descriptors are either global or local. A global descriptor represents the visual features of the whole image, whereas a local descriptor represents the visual features of regions or objects to describe the image. Further, these are subdivided into two categories, spatial and transform domain-based features. The approach makes use of pixels (a group of adjacent pixels) or gray values and the other makes use of transformed data of the gray image for feature calculation. N° de réf. du vendeur 9786202919418
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