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Semantic Based Visual Information Retrieval by Zhang Yu Jin (15 results)
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Semantic-Based Visual Information Retrieval.
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
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18 x 25 cm. 368 pages. 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. Sprache: Englisch.
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Semantic-Based Visual Information Retrieval
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Semantic-based Visual Information Retrieval
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Semantic-Based Visual Information Retrieval
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Semantic-based Visual Information Retrieval
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Semantic-based Visual Information Retrieval
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 919.
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Semantic-based visual information retrieval is one of the most challenging research directions of content-based visual information retrieval. This work presents state-of-the-art advancements and developments in the field, and also brings a selection of tech.
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Buch. Condition: Neu. Semantic-Based Visual Information Retrieval | Yu-Jin Zhang | Buch | Gebunden | Englisch | 2006 | IRM Press | EAN 9781599043708 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Semantic-based visual information retrieval is one of the most challenging research directions of content-based visual information retrieval. It provides efficient tools for access, interaction, searching, and retrieving from collected databases of visual media. Building on research from over 30 leading experts from around the world, Semantic-Based Visual Information Retrieval presents state-of-the-art advancements and developments in the field, and also brings a selection of techniques and algorithms about semantic-based visual information retrieval. It covers many critical issues, such as: multi-level representation and description, scene understanding, semantic modeling, image and video annotation, human-computer interaction, and more. Semantic-Based Visual Information Retrieval also explains detailed solutions to a wide range of practical applications. Researchers, students, and practitioners will find this comprehensive and detailed volume to be a roadmap for applying suitable methods in semantic-based visual information retrieval.
