Sensibility-aware image retrieval using computationally learned bases: RIM, JPG, J2K, and their mixtures

Takatoshi Kato, Shun'Ichi Honma, Yasuo Matsuyama, Tetsuma Yoshino, Yuuki Hoshino

    研究成果: Conference contribution

    抄録

    Sensibility-aware image retrieval methods are presented and their performances are compared. Three systems are discussed in this paper: PCA/ICA-based method called RIM (Retrieval-aware IMage format), JPEG, and JPEG2000. In each case, a query is an image per se. Similar images are retrieved to this query. The RIM method is judged to be the best settlement in view of the retrieval performance and the response speed according a carefully designed set of opinion tests. An integrated retrieval system for image collections from the network and databases which contain RIM, JPEG and JPEG2000 is realized and evaluated lastly. Source codes of the RIM method is opened.

    本文言語English
    ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ページ621-628
    ページ数8
    5506 LNCS
    PART 1
    DOI
    出版ステータスPublished - 2009
    イベント15th International Conference on Neuro-Information Processing, ICONIP 2008 - Auckland
    継続期間: 2008 11 252008 11 28

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    番号PART 1
    5506 LNCS
    ISSN(印刷版)03029743
    ISSN(電子版)16113349

    Other

    Other15th International Conference on Neuro-Information Processing, ICONIP 2008
    CityAuckland
    Period08/11/2508/11/28

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

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