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Experienced decades of rapid development in digital vision sensors and storage devices, today's world is enduring a flood of digital images. Practical image retrieval system is of more value now than ever. Traditional image retrieval systems were based on the text labels manually attached to each image, which requires intensive human labors and can hardly keep up with the growing number of images. Hence retrieval systems directly based on the visual content of images make their way to the foreground. Unlike other existing content-based image retrieval systems, the image to be retrieved in this project contains extremely strong background clutters and significant scale variance. The existence of multiple copies of identical objects can also confuse the retrieval system if it relies on previous methods. With the methods proposed in this book, we build up a system which can retrieve queried objects from thousands of candidates accurately and fast. This work demonstrates and promotes the practicability of computer vision technology in object recognition applications. It can be a reference to both industrials and research.
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Content-based Image Retrieval
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LAP LAMBERT Academic Publishing Mai 2010, 2010
ISBN 10: 3838358082
ISBN 13: 9783838358086
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Experienced decades of rapid development in digital vision sensors and storage devices, today's world is enduring a flood of digital images. Practical image retrieval system is of more value now than ever. Traditional image retrieval systems were based on the text labels manually attached to each image, which requires intensive human labors and can hardly keep up with the growing number of images. Hence retrieval systems directly based on the visual content of images make their way to the foreground. Unlike other existing content-based image retrieval systems, the image to be retrieved in this project contains extremely strong background clutters and significant scale variance. The existence of multiple copies of identical objects can also confuse the retrieval system if it relies on previous methods. With the methods proposed in this book, we build up a system which can retrieve queried objects from thousands of candidates accurately and fast. This work demonstrates and promotes the practicability of computer vision technology in object recognition applications. It can be a reference to both industrials and research. 108 pp. Englisch. Seller Inventory # 9783838358086
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Content-based Image Retrieval
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zhang YuhangYuhang Zhang: PhD candidate of the Research School of Information Sciences and Engineering, The Australian National University. Research interests include image retrieval and stereo reconstruction.Experienced decades . Seller Inventory # 5416177
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Content-based Image Retrieval
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LAP LAMBERT Academic Publishing Mai 2010, 2010
ISBN 10: 3838358082
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Experienced decades of rapid development in digital vision sensors and storage devices, today''s world is enduring a flood of digital images. Practical image retrieval system is of more value now than ever. Traditional image retrieval systems were based on the text labels manually attached to each image, which requires intensive human labors and can hardly keep up with the growing number of images. Hence retrieval systems directly based on the visual content of images make their way to the foreground. Unlike other existing content-based image retrieval systems, the image to be retrieved in this project contains extremely strong background clutters and significant scale variance. The existence of multiple copies of identical objects can also confuse the retrieval system if it relies on previous methods. With the methods proposed in this book, we build up a system which can retrieve queried objects from thousands of candidates accurately and fast. This work demonstrates and promotes the practicability of computer vision technology in object recognition applications. It can be a reference to both industrials and research.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. Seller Inventory # 9783838358086
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Content-based Image Retrieval : Out of the Clutter in a Big Supermarket
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Experienced decades of rapid development in digital vision sensors and storage devices, today's world is enduring a flood of digital images. Practical image retrieval system is of more value now than ever. Traditional image retrieval systems were based on the text labels manually attached to each image, which requires intensive human labors and can hardly keep up with the growing number of images. Hence retrieval systems directly based on the visual content of images make their way to the foreground. Unlike other existing content-based image retrieval systems, the image to be retrieved in this project contains extremely strong background clutters and significant scale variance. The existence of multiple copies of identical objects can also confuse the retrieval system if it relies on previous methods. With the methods proposed in this book, we build up a system which can retrieve queried objects from thousands of candidates accurately and fast. This work demonstrates and promotes the practicability of computer vision technology in object recognition applications. It can be a reference to both industrials and research. Seller Inventory # 9783838358086
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Content-based Image Retrieval | Out of the Clutter in a Big Supermarket
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Taschenbuch. Condition: Neu. Content-based Image Retrieval | Out of the Clutter in a Big Supermarket | Yuhang Zhang | Taschenbuch | 108 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838358086 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101110170
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Content-based Image Retrieval: Out of the Clutter in a Big Supermarket
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