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

Authors:
Naoto Katsumata;Yasuo Matsuyama;Takeshi Chikagawa;Fuminori Ohashi;Fumiaki Horiike;Shun'ichi Honma;Tomohiro Nakamura
Affiliations:
Yahoo, Japan;Waseda University, Tokyo, Japan;Nomura Research Institute, Japan;Waseda University, Tokyo, Japan;Waseda University, Tokyo, Japan;Waseda University, Tokyo, Japan;Waseda University, Tokyo, Japan
Venue:
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Year:
2006

Citing 2
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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.