Retrieval-aware image compression, its format and viewer based upon learned bases

Naoto Katsumata, Yasuo Matsuyama, Takeshi Chikagawa, Fuminori Ohashi, Fumiaki Horiike, Shun'ichi Honma, Tomohiro Nakamura

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    A retrieval-aware image format (rim format) is developed for the usage in the similar-image retrieval. The format is based on PCA and ICA which can compress source images with an equivalent or often better rate-distortion than JPEG. Besides the data compression, the learned PCA/ICA bases are utilized in the similar-image retrieval since they reflect each source image's local patterns. Following the format presentation, an image search viewer for network environments (Wisvi; Waseda image search viewer) is presented. Therein, each query is an image per se. The Wisvi system based on the "rim" method successfully finds similar-images from non-uniform network environments. Experiments support that the PCA/ICA methods are viable to the joint compression and retrieval of digital images. Interested test users can download a β-version of the tool for the joint image compression and retrieval from a web site specified in this paper.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages420-429
    Number of pages10
    Volume4233 LNCS - II
    Publication statusPublished - 2006
    Event13th International Conference on Neural Information Processing, ICONIP 2006 - Hong Kong
    Duration: 2006 Oct 32006 Oct 6

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume4233 LNCS - II
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other13th International Conference on Neural Information Processing, ICONIP 2006
    CityHong Kong
    Period06/10/306/10/6

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    ASJC Scopus subject areas

    • Computer Science(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Theoretical Computer Science

    Cite this

    Katsumata, N., Matsuyama, Y., Chikagawa, T., Ohashi, F., Horiike, F., Honma, S., & Nakamura, T. (2006). Retrieval-aware image compression, its format and viewer based upon learned bases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4233 LNCS - II, pp. 420-429). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4233 LNCS - II).