Chen Chufeng (3 results)

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  • Language: English

    Published by VDM Verlag, 2009

    3639143000 / 9783639143003

    • Softcover

    Seller: Mispah books, Redhill, SURRE, United KingdomMispah books

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    Condition: Used - As new

    £ 116.00

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    Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Language: English

    Published by VDM Verlag Dr. Müller, 2009

    3639143000 / 9783639143003

    • Softcover
    • Print on Demand

    Seller: moluna, Greven, Germanymoluna

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    Condition: New

    £ 40.91

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    Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chen ChufengHe started his research at the University of Sunderland in 2003. nDuring the research, he mainly looked at human factors for nimproving personal image searching usability. He finished PhD nresearch in 2007, then he starte.

  • Language: English

    Published by VDM Verlag Dr. Müller, 2009

    3639143000 / 9783639143003

    • Softcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Condition: New

    £ 74.75

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As personal digital photographs are used more and more, people may have difficulty in finding their own digital images in large of collections. Traditional approaches to search digital photographs are based on manual keyword indexing of images with text that describes the content of the images for subsequent retrieval. However, manual keyword indexing is too time consuming. This book provided a new idea which considered human episodic memory for image retrieval to improve personal imaging searching usability. Time and location are the main factors in human episodic memory; this book combined these types of data for clustering personal photos into events by a clustering model. This book also used these types of data to annotate personal images with keywords. It means the images can either be manually annotated with a set of keywords chosen by the owner of the collection, or keywords can be automatically inferred from the time and location stamps associated with the image and the Geographic Names Database Gazetteer.