The growth of image content production and distribution over the world has exploded in recent years. This creates a compelling need for developing innovative tools for managing and retrieving images for many applications, such as web image search engines, medical decision support systems, etc. Until now, content-based image retrieval (CBIR) addresses the problem of finding images by automatically extracting low-level visual features. The main limitation of CBIR is due to the large semantic gap. A successful solution to bridge the semantic gap requires the investigation of techniques from multiple fields. This book is motivated by a multi-disciplinary research effort and focuses on semantic-based image search from a domain perspective with an emphasis on natural photography and biomedical image databases. A prototype image retrieval system is developed to perform exhaustive experimental evaluations and to show the effectiveness of the proposed retrieval approaches in narrow to broad domain applications.
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The growth of image content production and distribution over the world has exploded in recent years. This creates a compelling need for developing innovative tools for managing and retrieving images for many applications, such as web image search engines, medical decision support systems, etc. Until now, content-based image retrieval (CBIR) addresses the problem of finding images by automatically extracting low-level visual features. The main limitation of CBIR is due to the large semantic gap. A successful solution to bridge the semantic gap requires the investigation of techniques from multiple fields. This book is motivated by a multi-disciplinary research effort and focuses on semantic-based image search from a domain perspective with an emphasis on natural photography and biomedical image databases. A prototype image retrieval system is developed to perform exhaustive experimental evaluations and to show the effectiveness of the proposed retrieval approaches in narrow to broad domain applications.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The growth of image content production and distribution over the world has exploded in recent years. This creates a compelling need for developing innovative tools for managing and retrieving images for many applications, such as web image search engines, medical decision support systems, etc. Until now, content-based image retrieval (CBIR) addresses the problem of finding images by automatically extracting low-level visual features. The main limitation of CBIR is due to the large semantic gap. A successful solution to bridge the semantic gap requires the investigation of techniques from multiple fields. This book is motivated by a multi-disciplinary research effort and focuses on semantic-based image search from a domain perspective with an emphasis on natural photography and biomedical image databases. A prototype image retrieval system is developed to perform exhaustive experimental evaluations and to show the effectiveness of the proposed retrieval approaches in narrow to broad domain applications. 228 pp. Englisch. N° de réf. du vendeur 9783838368092
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rahman MahmudurMd Mahmudr Rahman received the PhD in Computer Science in March 2008 from Concordia University, Montreal, Canada. He joined the Communications Engineering Branch of the NLM at NIH as a postdoctoral fellow in Nov. 20. N° de réf. du vendeur 5417129
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The growth of image content production and distribution over the world has exploded in recent years. This creates a compelling need for developing innovative tools for managing and retrieving images for many applications, such as web image search engines, medical decision support systems, etc. Until now, content-based image retrieval (CBIR) addresses the problem of finding images by automatically extracting low-level visual features. The main limitation of CBIR is due to the large semantic gap. A successful solution to bridge the semantic gap requires the investigation of techniques from multiple fields. This book is motivated by a multi-disciplinary research effort and focuses on semantic-based image search from a domain perspective with an emphasis on natural photography and biomedical image databases. A prototype image retrieval system is developed to perform exhaustive experimental evaluations and to show the effectiveness of the proposed retrieval approaches in narrow to broad domain applications. N° de réf. du vendeur 9783838368092
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Semantical Retrieval of Natural Photographic and Medical Images | From a Domain Perspective | Mahmudur Rahman | Taschenbuch | 228 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838368092 | 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 101072337
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The growth of image content production and distribution over the world has exploded in recent years. This creates a compelling need for developing innovative tools for managing and retrieving images for many applications, such as web image search engines, medical decision support systems, etc. Until now, content-based image retrieval (CBIR) addresses the problem of finding images by automatically extracting low-level visual features. The main limitation of CBIR is due to the large semantic gap. A successful solution to bridge the semantic gap requires the investigation of techniques from multiple fields. This book is motivated by a multi-disciplinary research effort and focuses on semantic-based image search from a domain perspective with an emphasis on natural photography and biomedical image databases. A prototype image retrieval system is developed to perform exhaustive experimental evaluations and to show the effectiveness of the proposed retrieval approaches in narrow to broad domain applications.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 228 pp. Englisch. N° de réf. du vendeur 9783838368092
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA75838383680965
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