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    Image Browsing and Navigation Using Hierarchical Classification

    Challenge of Image Retrieval

    Newcastle upon Tyne, UK. 25th - 26th February 1999

    AUTHORS

    T-S. Lai, J. Tait & S. McDonald

    ABSTRACT

    In this paper, we attempt to address the inadequacies of query-based image retrieval, and argue the importance of structured browsing and navigation methods.

    We propose to build a hierarchical classification model, which is the basic structure for image browsing and navigation.

    Currently a prototype system has been implemented, called CHROMA. CHROMA provides both a visual tool to browse or navigate through the image collection, which can be used in combination with existing query-based methods.

    In addition, by measuring the required iterations of thumbnail browsing we evaluate the improvements in retrieval effectiveness of the browsing and navigation approach.

    PAPER FORMATS

    PDF filePDF Version of this Paper (350kb)