Isbn: 9780126192612 - exploratory image databases: content-based retrieval (3 risultati)

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  • Lingua: Inglese

    Editore: Academic Press, 2001

    0126192618 / 9780126192612

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    Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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    Condizione: Usato - Come nuovo

    EUR 130,52

    EUR 29,33 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

    Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: Elsevier Science Aug 2001, 2001

    0126192618 / 9780126192612

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    • Print on Demand

    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 86,95

    EUR 23,00 spedizione 
    Spedito da Germania a U.S.A.

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The explosion of computer use and internet communication has placed new emphasis on the ability to store, retrieve and search for all types of images, both still photo and video images. The success and the future of visual information retrieval depends on the cutting edge research and applications explored in this book. It combines the expertise from both computer vision and database research.Unlike text retrieval and text/numeric databases the challenges of image databases are enormous. How do you use 'data mining' to search for an image if you do not have 'key words' to search Exploratory Image Databases introduces the idea that it is possible to solve this problem by merging database systems into a single search and browse activity called 'exploration.'Exploratory Image Databases is one of the first single-author books that unifies the critical emerging topic of image databases. A new approach to image databases, the work is divided into four central parts: introduction to the problems that image database research must solve; computer vision and information retrieval techniques; image database issues; and interface and engines for visual searches.Example: Imagine the difficulty of building and using a database for 'face recognition,' where an image of a face is used. In order to effectively use the image a huge number of characteristics would need to be entered in the database. The goal of future image databases is to use hardware and software to recognize and categorize images without typing in characteristics. 613 pp. Englisch.…

  • Lingua: Inglese

    Editore: Elsevier Science, 2001

    0126192618 / 9780126192612

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    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 91,77

    EUR 44,24 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The explosion of computer use and internet communication has placed new emphasis on the ability to store, retrieve and search for all types of images, both still photo and video images. The success and the future of visual information retrieval depends on the cutting edge research and applications explored in this book. It combines the expertise from both computer vision and database research.Unlike text retrieval and text/numeric databases the challenges of image databases are enormous. How do you use 'data mining' to search for an image if you do not have 'key words' to search Exploratory Image Databases introduces the idea that it is possible to solve this problem by merging database systems into a single search and browse activity called 'exploration.'Exploratory Image Databases is one of the first single-author books that unifies the critical emerging topic of image databases. A new approach to image databases, the work is divided into four central parts: introduction to the problems that image database research must solve; computer vision and information retrieval techniques; image database issues; and interface and engines for visual searches.Example: Imagine the difficulty of building and using a database for 'face recognition,' where an image of a face is used. In order to effectively use the image a huge number of characteristics would need to be entered in the database. The goal of future image databases is to use hardware and software to recognize and categorize images without typing in characteristics.…