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

*Corresponding author for this work

    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

    ASJC Scopus subject areas

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

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