Digital media have rapidly become ubiquitous and its development has resulted in (i) an ever increasing amount of images and video on the Internet, (ii) a steep decline in digital transportation and storage costs, and (iii) ambient presence. In line with these developments, the field of computer vision (CV) evolved quickly. Driven by a technology push, a range of CV techniques were developed. However, the user and his characteristics were taken into account seldom and, subsequently, limitations of mere technical solutions became apparent. This book describes research, which aims to bridge CV's semantic gap through human-centered computing. It addresses two of CV's foundations: color and texture. Both human color categorization and human texture classification are modeled, implemented, and validated for (online) CV purposes. Both approaches show to be (computationally) efficient as well as accurate. As such, a foundation is paved for the emerging field of cognitive computer vision.
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Egon L. van den Broek, MSc, PhD, PhD. He is consultant andassistant professor. He guided 50+ students, has 150+ scientificpublications, 5 patent applications, and various awards. Egonserves in several boards of advice, editorial boards, and programcommittees and is founding editor-in-chief of the Pan StanfordSeries in Artificial Intelligence.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Digital media have rapidly become ubiquitous and its development has resulted in (i) an ever increasing amount of images and video on the Internet, (ii) a steep decline in digital transportation and storage costs, and (iii) ambient presence. In line with these developments, the field of computer vision (CV) evolved quickly. Driven by a technology push, a range of CV techniques were developed. However, the user and his characteristics were taken into account seldom and, subsequently, limitations of mere technical solutions became apparent. This book describes research, which aims to bridge CV's semantic gap through human-centered computing. It addresses two of CV's foundations: color and texture. Both human color categorization and human texture classification are modeled, implemented, and validated for (online) CV purposes. Both approaches show to be (computationally) efficient as well as accurate. As such, a foundation is paved for the emerging field of cognitive computer vision. 180 pp. Englisch. Seller Inventory # 9783844383010
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: van den Broek Egon L.Egon L. van den Broek, MSc, PhD, PhD. He is consultant andassistant professor. He guided 50+ students, has 150+ scientificpublications, 5 patent applications, and various awards. Egonserves in several boards of a. Seller Inventory # 5475828
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Taschenbuch. Condition: Neu. Cognitive Computer Vision | Explorations in color and texture processing | Egon L. van den Broek | Taschenbuch | 180 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844383010 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 106827669
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Digital media have rapidly become ubiquitous and its development has resulted in (i) an ever increasing amount of images and video on the Internet, (ii) a steep decline in digital transportation and storage costs, and (iii) ambient presence. In line with these developments, the field of computer vision (CV) evolved quickly. Driven by a technology push, a range of CV techniques were developed. However, the user and his characteristics were taken into account seldom and, subsequently, limitations of mere technical solutions became apparent. This book describes research, which aims to bridge CV's semantic gap through human-centered computing. It addresses two of CV's foundations: color and texture. Both human color categorization and human texture classification are modeled, implemented, and validated for (online) CV purposes. Both approaches show to be (computationally) efficient as well as accurate. As such, a foundation is paved for the emerging field of cognitive computer vision.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 180 pp. Englisch. Seller Inventory # 9783844383010
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Digital media have rapidly become ubiquitous and its development has resulted in (i) an ever increasing amount of images and video on the Internet, (ii) a steep decline in digital transportation and storage costs, and (iii) ambient presence. In line with these developments, the field of computer vision (CV) evolved quickly. Driven by a technology push, a range of CV techniques were developed. However, the user and his characteristics were taken into account seldom and, subsequently, limitations of mere technical solutions became apparent. This book describes research, which aims to bridge CV's semantic gap through human-centered computing. It addresses two of CV's foundations: color and texture. Both human color categorization and human texture classification are modeled, implemented, and validated for (online) CV purposes. Both approaches show to be (computationally) efficient as well as accurate. As such, a foundation is paved for the emerging field of cognitive computer vision. Seller Inventory # 9783844383010
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