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Computer Vision: Representing Scenes for Recognition, Retrieval and Content Based Learning - Softcover
Synopsis
Vision is perhaps the most important sense for humans. It consists of processing images of scenes so as to make explicit what needs to be known about them. Among the different complex tasks accomplished by the Human Visual System, the tasks of representing and understanding the content of an observed scene are fundamental; these tasks, indeed, allow to humans the interpretation of their surroundings. Computer vision aims to build robust and reusable vision systems that act taking into account the visual content of images and videos. Just as learning is an essential component of biological visual systems, the design of machine vision systems that learn and adapt represent an important challenge in modern computer vision research. This book focuses on some key ingredients useful to represent images for scene recognition, image retrieval and content based learning.
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About the Author
Giovanni Maria Farinella graduated in Computer Science from the University of Catania in 2004 and was awarded a Ph.D. in 2008. He is Contract Researcher at the Dep. of Math. and Comp. Science, University of Catania, Italy. He has edited 2 volumes and co-authored more than 50 papers. He is director of the International Computer Vision Summer School.
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Computer Vision
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LAP LAMBERT Academic Publishing Okt 2011, 2011
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Vision is perhaps the most important sense for humans. It consists of processing images of scenes so as to make explicit what needs to be known about them. Among the different complex tasks accomplished by the Human Visual System, the tasks of representing and understanding the content of an observed scene are fundamental; these tasks, indeed, allow to humans the interpretation of their surroundings. Computer vision aims to build robust and reusable vision systems that act taking into account the visual content of images and videos. Just as learning is an essential component of biological visual systems, the design of machine vision systems that learn and adapt represent an important challenge in modern computer vision research. This book focuses on some key ingredients useful to represent images for scene recognition, image retrieval and content based learning. 196 pp. Englisch. Seller Inventory # 9783846519196
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Computer Vision
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Farinella Giovanni MariaGiovanni Maria Farinella graduated in Computer Science from the University of Catania in 2004 and was awarded a Ph.D. in 2008. He is Contract Researcher at the Dep. of Math. and Comp. Science, University of Ca. Seller Inventory # 5496234
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Computer Vision : Representing Scenes for Recognition, Retrieval and Content Based Learning
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846519197
ISBN 13: 9783846519196
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Vision is perhaps the most important sense for humans. It consists of processing images of scenes so as to make explicit what needs to be known about them. Among the different complex tasks accomplished by the Human Visual System, the tasks of representing and understanding the content of an observed scene are fundamental; these tasks, indeed, allow to humans the interpretation of their surroundings. Computer vision aims to build robust and reusable vision systems that act taking into account the visual content of images and videos. Just as learning is an essential component of biological visual systems, the design of machine vision systems that learn and adapt represent an important challenge in modern computer vision research. This book focuses on some key ingredients useful to represent images for scene recognition, image retrieval and content based learning. Seller Inventory # 9783846519196
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Computer Vision
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Computer Vision
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Vision is perhaps the most important sense for humans. It consists of processing images of scenes so as to make explicit what needs to be known about them. Among the different complex tasks accomplished by the Human Visual System, the tasks of representing and understanding the content of an observed scene are fundamental; these tasks, indeed, allow to humans the interpretation of their surroundings. Computer vision aims to build robust and reusable vision systems that act taking into account the visual content of images and videos. Just as learning is an essential component of biological visual systems, the design of machine vision systems that learn and adapt represent an important challenge in modern computer vision research. This book focuses on some key ingredients useful to represent images for scene recognition, image retrieval and content based learning.Books on Demand GmbH, Überseering 33, 22297 Hamburg 196 pp. Englisch. Seller Inventory # 9783846519196
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Computer Vision
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Computer Vision: Representing Scenes for Recognition, Retrieval and Content Based Learning
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