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.
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References
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Hattori, S. (2012). Cross-Language Peculiar Image Search Using Translaion between Japanese and English. In: Gaol, F. (eds) Recent Progress in Data Engineering and Internet Technology. Lecture Notes in Electrical Engineering, vol 157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28798-5_8
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DOI: https://doi.org/10.1007/978-3-642-28798-5_8
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