An efficient high-dimensional index structure using cell signatures for similarity search

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    In this paper, we propose an efficient high-dimensional index structure using cell signatures for similarity search in multimedia database applications. Our index structure partitions a high-dimensional feature space into a group of cells and represents a feature vector as its corresponding cell signature. By using cell signatures rather than real feature vectors, it is possible to reduce the height of our high-dimensional index structure, leading to efficient retrieval performance. In addition, we present a similarity search metric for efficiently pruning search spaces based on cell signatures. Finally, we compare the performance of our index structure with that of its competitor like the X-tree. It is shown from experimental results that our index structure is better on retrieval performance than the X-tree.

    Original languageEnglish
    Title of host publicationAdvances in Web-Age Information Management - 2nd International Conference, WAIM 2001, Proceedings
    EditorsX. Sean Wang, Ge Yu, Hongjun Lu
    PublisherSpringer Verlag
    Pages26-33
    Number of pages8
    ISBN (Print)9783540477143
    DOIs
    StatePublished - 2001
    Event2nd International Conference on Web-Age Information Management, WAIM 2001 - Xi’an, China
    Duration: 2001.07.92001.07.11

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2118
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference2nd International Conference on Web-Age Information Management, WAIM 2001
    Country/TerritoryChina
    CityXi’an
    Period01.07.901.07.11

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems

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