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Cross-Language Peculiar Image Search Using Translaion between Japanese and English

  • Shun Hattori
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 157)

Abstract

As next steps of Image Retrieval, it is very important to discriminate between “Typical Images” and “Peculiar Images” in the acceptable images, and moreover, to collect many different kinds of peculiar images exhaustively. As a solution to the 1st next step, my previous work has proposed a novel method to more precisely search the Web for peculiar images of a target object by its peculiar appearance descriptions (e.g., color-names) extracted from the Web and/or its peculiar image features (e.g., color-features) converted from them. This paper proposes a refined method equipped with cross-language (translation between Japanese and English) functions and validates its retrieval precision.

Keywords

Target Object Image Retrieval Original Query Acceptable Image Text Mining Technique 
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 2012

Authors and Affiliations

  1. 1.School of Computer ScienceTokyo University of TechnologyHachiojiJapan

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