Community based feedback techniques to improve video search

David Vallet, Frank Hopfgartner, Martin Halvey, Joemon M. Jose

    Research output: Contribution to journalArticle

    Abstract

    In this paper, we present a novel approach to aid users in the difficult task of video search. We use a graph based model based on implicit feedback mined from the interactions of previous users of our video search system to provide recommendations to aid users in their search tasks. This approach means that users are not burdened with providing explicit feedback, while still getting the benefits of recommendations. The goal of this approach is to improve the quality of the results that users find, and in doing so also help users to explore a large and difficult information space. In particular we wish to make the challenging task of video search much easier for users.
    Original languageEnglish
    Pages (from-to)389-306
    Number of pages8
    JournalSignal, Image and Video Processing
    Volume2
    Issue number4
    DOIs
    Publication statusPublished - Dec 2008

    Keywords

    • video searching
    • visual media
    • user study

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