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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
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4233)

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.

Keywords

Principal Component Analysis Independent Component Analysis Image Compression Query Image Independent Component Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Naoto Katsumata
    • 1
  • Yasuo Matsuyama
    • 2
  • Takeshi Chikagawa
    • 3
  • Fuminori Ohashi
    • 2
  • Fumiaki Horiike
    • 2
  • Shun’ichi Honma
    • 2
  • Tomohiro Nakamura
    • 2
  1. 1.YahooJapan
  2. 2.Waseda UniversityTokyoJapan
  3. 3.Nomura Research InstituteJapan

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