Intelligent Video Event Analysis and Understanding - Couverture souple

9783662505854: Intelligent Video Event Analysis and Understanding

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ISBN 10 : 3662505851 ISBN 13 : 9783662505854

Editeur : Springer, 2016

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Presenting state-of-the-art research advances of video event understanding technologies, this volume is a rich resource for future research and successful practice. The text covers visual surveillance, human-computer interaction, and video search and indexing etc.

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�diteurSpringer
Date d'�dition2016
ISBN 10 3662505851
ISBN 13 9783662505854
ReliureBroch�
Langueanglais
Nombre de pages264
�diteurZhang Jianguo, Shao Ling, Zhang Lei, Jones Graeme A.
Coordonn�es du fabricantnon disponible

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9783642175534: Intelligent Video Event Analysis and Understanding

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Editeur : Springer-Verlag Berlin and Heide..., 2011
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Intelligent Video Event Analysis and Understanding

Zhang, Jianguo|Shao, Ling|Zhang, Lei|Jones, Graeme A.

Edit� par Springer Berlin Heidelberg, 2016

ISBN 10 : 3662505851 ISBN 13 : 9783662505854

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research in intelligent video event analysisEdited Outcome of the 1st International Workshop on Video Event Categorization, Tagging and Retrieval (VECTaR2009) held in Xi an, China, September 2009Written by leading experts. N� de r�f. du vendeur 458744306

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Intelligent Video Event Analysis and Understanding

Jianguo Zhang

Edit� par Springer Berlin Heidelberg, 2016

ISBN 10 : 3662505851 ISBN 13 : 9783662505854

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - With the vast development of Internet capacity and speed, as well as wide adop- tion of media technologies in people's daily life, a large amount of videos have been surging, and need to be efficiently processed or organized based on interest. The human visual perception system could, without difficulty, interpret and r- ognize thousands of events in videos, despite high level of video object clutters, different types of scene context, variability of motion scales, appearance changes, occlusions and object interactions. For a computer vision system, it has been be very challenging to achieve automatic video event understanding for decades. Broadly speaking, those challenges include robust detection of events under - tion clutters, event interpretation under complex scenes, multi-level semantic event inference, putting events in context and multiple cameras, event inference from object interactions, etc. In recent years, steady progress has been made towards better models for video event categorisation and recognition, e. g. , from modelling events with bag of spatial temporal features to discovering event context, from detecting events using a single camera to inferring events through a distributed camera network, and from low-level event feature extraction and description to high-level semantic event classification and recognition. Nowadays, text based video retrieval is widely used by commercial search engines. However, it is still very difficult to retrieve or categorise a specific video segment based on their content in a real multimedia system or in surveillance applications. N� de r�f. du vendeur 9783662505854

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Intelligent Video Event Analysis and Understanding

Jianguo Zhang

Edit� par Springer Berlin Heidelberg Aug 2016, 2016

ISBN 10 : 3662505851 ISBN 13 : 9783662505854

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With the vast development of Internet capacity and speed, as well as wide adop- tion of media technologies in people's daily life, a large amount of videos have been surging, and need to be efficiently processed or organized based on interest. The human visual perception system could, without difficulty, interpret and r- ognize thousands of events in videos, despite high level of video object clutters, different types of scene context, variability of motion scales, appearance changes, occlusions and object interactions. For a computer vision system, it has been be very challenging to achieve automatic video event understanding for decades. Broadly speaking, those challenges include robust detection of events under - tion clutters, event interpretation under complex scenes, multi-level semantic event inference, putting events in context and multiple cameras, event inference from object interactions, etc. In recent years, steady progress has been made towards better models for video event categorisation and recognition, e. g. , from modelling events with bag of spatial temporal features to discovering event context, from detecting events using a single camera to inferring events through a distributed camera network, and from low-level event feature extraction and description to high-level semantic event classification and recognition. Nowadays, text based video retrieval is widely used by commercial search engines. However, it is still very difficult to retrieve or categorise a specific video segment based on their content in a real multimedia system or in surveillance applications. 264 pp. Englisch. N� de r�f. du vendeur 9783662505854

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Intelligent Video Event Analysis and Understanding

Jianguo Zhang

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2016, 2016

ISBN 10 : 3662505851 ISBN 13 : 9783662505854

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Taschenbuch. Etat : Neu. Neuware -With the vast development of Internet capacity and speed, as well as wide adop- tion of media technologies in people�s daily life, a large amount of videos have been surging, and need to be efficiently processed or organized based on interest. The human visual perception system could, without difficulty, interpret and r- ognize thousands of events in videos, despite high level of video object clutters, different types of scene context, variability of motion scales, appearance changes, occlusions and object interactions. For a computer vision system, it has been be very challenging to achieve automatic video event understanding for decades. Broadly speaking, those challenges include robust detection of events under - tion clutters, event interpretation under complex scenes, multi-level semantic event inference, putting events in context and multiple cameras, event inference from object interactions, etc. In recent years, steady progress has been made towards better models for video event categorisation and recognition, e. g. , from modelling events with bag of spatial temporal features to discovering event context, from detecting events using a single camera to inferring events through a distributed camera network, and from low-level event feature extraction and description to high-level semantic event classification and recognition. Nowadays, text based video retrieval is widely used by commercial search engines. However, it is still very difficult to retrieve or categorise a specific video segment based on their content in a real multimedia system or in surveillance applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 264 pp. Englisch. N� de r�f. du vendeur 9783662505854

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