Fusion in Computer Vision: Understanding Complex Visual Content (Advances in Computer Vision and Pattern Recognition)

Ionescu, Bogdan, Jenny Benois-Pineau Georges Qu�not u. a.:

ISBN 10: 3319056956 ISBN 13: 9783319056951

Editorial: Springer, 2014

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Librer�a: Studibuch, Stuttgart, Alemania Calificaci�n del vendedor: 5 de 5 estrellas

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Seiten; 9783319056951.2 Gewicht in Gramm: 2. N� de ref. del art�culo 667195

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This book presents a thorough overview of fusion in computer vision, from an interdisciplinary and multi-application viewpoint, describing successful approaches, evaluated in the context of international benchmarks that model realistic use cases. Features: examines late fusion approaches for concept recognition in images and videos; describes the interpretation of visual content by incorporating models of the human visual system with content understanding methods; investigates the fusion of multi-modal features of different semantic levels, as well as results of semantic concept detections, for example-based event recognition in video; proposes rotation-based ensemble classifiers for high-dimensional data, which encourage both individual accuracy and diversity within the ensemble; reviews application-focused strategies of fusion in video surveillance, biomedical information retrieval, and content detection in movies; discusses the modeling of mechanisms of human interpretation of complex visual content.

Acerca del autor: Dr. Bogdan Ionescu is a lecturer and Coordinator of the Video Processing Group at the Image Processing and Analysis Laboratory, University Politehnica of Bucharest, Romania. Dr. Jenny Benois-Pineau is a full professor and Chair of the Video Analysis and Indexing research group at the University of Bordeaux, France. Dr. Tomas Piatrik is a senior researcher in the Multimedia and Vision Research Group at Queen Mary University of London, UK. Dr. Georges Qu�not is a senior researcher at CNRS and leader of the Multimedia Information Modeling and Retrieval group at the Grenoble Informatics Laboratory, France.

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T�tulo: Fusion in Computer Vision: Understanding ...
Editorial: Springer
A�o de publicaci�n: 2014
Encuadernaci�n: hardcover
Condici�n: Sehr gut

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Publicado por Springer International Publishing, 2014

ISBN 10: 3319056956 ISBN 13: 9783319056951

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Condici�n: Sehr gut. Zustand: Sehr gut | Seiten: 288 | Sprache: Englisch | Produktart: B�cher. N� de ref. del art�culo: 24571351/12

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Fusion in Computer Vision

Ionescu, Bogdan|Benois-Pineau, Jenny|Piatrik, Tomas|Qu�not, Georges

Publicado por Springer International Publishing, 2014

ISBN 10: 3319056956 ISBN 13: 9783319056951

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Gebunden. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Examines information fusion in the context of multimodal and multidimensional data representation, i.e., video, image and textPresents a focus on information fusion for tackling higher-level description of multimedia informationDiscu. N� de ref. del art�culo: 4497352

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Fusion in Computer Vision: Understanding Complex Visual Content (Advances in Computer Vision and Pattern Recognition)

Publicado por Springer, 2014

ISBN 10: 3319056956 ISBN 13: 9783319056951

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Fusion in Computer Vision : Understanding Complex Visual Content

Bogdan Ionescu

Publicado por Springer International Publishing, 2014

ISBN 10: 3319056956 ISBN 13: 9783319056951

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Buch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a thorough overview of fusion in computer vision, from an interdisciplinary and multi-application viewpoint, describing successful approaches, evaluated in the context of international benchmarks that model realistic use cases. Features: examines late fusion approaches for concept recognition in images and videos; describes the interpretation of visual content by incorporating models of the human visual system with content understanding methods; investigates the fusion of multi-modal features of different semantic levels, as well as results of semantic concept detections, for example-based event recognition in video; proposes rotation-based ensemble classifiers for high-dimensional data, which encourage both individual accuracy and diversity within the ensemble; reviews application-focused strategies of fusion in video surveillance, biomedical information retrieval, and content detection in movies; discusses the modeling of mechanisms of human interpretation of complex visual content. N� de ref. del art�culo: 9783319056951

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Fusion in Computer Vision

Bogdan Ionescu

Publicado por Springer International Publishing, Springer International Publishing Apr 2014, 2014

ISBN 10: 3319056956 ISBN 13: 9783319056951

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Buch. Condici�n: Neu. Neuware -This book presents a thorough overview of fusion in computer vision, from an interdisciplinary and multi-application viewpoint, describing successful approaches, evaluated in the context of international benchmarks that model realistic use cases. Features: examines late fusion approaches for concept recognition in images and videos; describes the interpretation of visual content by incorporating models of the human visual system with content understanding methods; investigates the fusion of multi-modal features of different semantic levels, as well as results of semantic concept detections, for example-based event recognition in video; proposes rotation-based ensemble classifiers for high-dimensional data, which encourage both individual accuracy and diversity within the ensemble; reviews application-focused strategies of fusion in video surveillance, biomedical information retrieval, and content detection in movies; discusses the modeling of mechanisms of human interpretation of complex visual content.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch. N� de ref. del art�culo: 9783319056951

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Fusion in Computer Vision

Bogdan Ionescu

Publicado por Springer International Publishing Apr 2014, 2014

ISBN 10: 3319056956 ISBN 13: 9783319056951

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

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Buch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a thorough overview of fusion in computer vision, from an interdisciplinary and multi-application viewpoint, describing successful approaches, evaluated in the context of international benchmarks that model realistic use cases. Features: examines late fusion approaches for concept recognition in images and videos; describes the interpretation of visual content by incorporating models of the human visual system with content understanding methods; investigates the fusion of multi-modal features of different semantic levels, as well as results of semantic concept detections, for example-based event recognition in video; proposes rotation-based ensemble classifiers for high-dimensional data, which encourage both individual accuracy and diversity within the ensemble; reviews application-focused strategies of fusion in video surveillance, biomedical information retrieval, and content detection in movies; discusses the modeling of mechanisms of human interpretation of complex visual content. 288 pp. Englisch. N� de ref. del art�culo: 9783319056951

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