Lingua: Inglese
Editore: Cham, Switzerland, Springer., 2018
ISBN 10: 3319738909 ISBN 13: 9783319738901
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 18,00
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Aggiungi al carrelloX, 163 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Intelligent Systems Reference Library. Volume 145. Sprache: Englisch.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 52,39
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 62,84
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 60,73
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 60,72
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Aggiungi al carrelloCondizione: New.
Condizione: New. pp. X, 163 59 illus., 48 illus. in color. 1st ed. 2018 edition NO-PA16APR2015-KAP.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 68,72
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 66,90
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Da: Revaluation Books, Exeter, Regno Unito
EUR 80,65
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Aggiungi al carrelloHardcover. Condizione: Brand New. 173 pages. 9.25x6.10x0.63 inches. In Stock.
Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing, 2018
ISBN 10: 3319738909 ISBN 13: 9783319738901
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents cutting-edge research on various ways to bridge the semantic gap in image and video analysis. The respective chapters address different stages of image processing, revealing that the first step is a future extraction, the second is a segmentation process, the third is object recognition, and the fourth and last involve the semantic interpretation of the image.The semantic gap is a challenging area of research, and describes the difference between low-level features extracted from the image and the high-level semantic meanings that people can derive from the image. The result greatly depends on lower level vision techniques, such as feature selection, segmentation, object recognition, and so on. The use of deep models has freed humans from manually selecting and extracting the set of features. Deep learning does this automatically, developing more abstract features at the successive levels. The book offers a valuable resource for researchers, practitioners, students and professors in Computer Engineering, Computer Science and related fields whose work involves images, video analysis, image interpretation and so on.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 46,22
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Mrz 2018, 2018
ISBN 10: 3319738909 ISBN 13: 9783319738901
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents cutting-edge research on various ways to bridge the semantic gap in image and video analysis. The respective chapters address different stages of image processing, revealing that the first step is a future extraction, the second is a segmentation process, the third is object recognition, and the fourth and last involve the semantic interpretation of the image.The semantic gap is a challenging area of research, and describes the difference between low-level features extracted from the image and the high-level semantic meanings that people can derive from the image. The result greatly depends on lower level vision techniques, such as feature selection, segmentation, object recognition, and so on. The use of deep models has freed humans from manually selecting and extracting the set of features. Deep learning does this automatically, developing more abstract features at the successive levels. The book offers a valuable resource for researchers, practitioners, students and professors in Computer Engineering, Computer Science and related fields whose work involves images, video analysis, image interpretation and so on. 176 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 77,74
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. X, 163 59 illus., 48 illus. in color.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 77,32
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. X, 163 59 illus., 48 illus. in color.
Lingua: Inglese
Editore: Springer International Publishing, 2018
ISBN 10: 3319738909 ISBN 13: 9783319738901
Da: moluna, Greven, Germania
EUR 48,37
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents cutting-edge research on various ways to bridge the semantic gap in image and video analysis Explores the correspondence between the low-level information extracted from an image and the meaning that the image holds for the user .
Lingua: Inglese
Editore: Springer, Springer Mär 2018, 2018
ISBN 10: 3319738909 ISBN 13: 9783319738901
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents cutting-edge research on various ways to bridge the semantic gap in image and video analysis. The respective chapters address different stages of image processing, revealing that the first step is a future extraction, the second is a segmentation process, the third is object recognition, and the fourth and last involve the semantic interpretation of the image.The semantic gap is a challenging area of research, and describes the difference between low-level features extracted from the image and the high-level semantic meanings that people can derive from the image. The result greatly depends on lower level vision techniques, such as feature selection, segmentation, object recognition, and so on. The use of deep models has freed humans from manually selecting and extracting the set of features. Deep learning does this automatically, developing more abstract features at the successive levels.The book offers a valuable resource for researchers, practitioners, students and professors in Computer Engineering, Computer Science and related fields whose work involves images, video analysis, image interpretation and so on.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 176 pp. Englisch.