Mining the web for appearance description

Authors:
Shun Hattori;Taro Tezuka;Katsumi Tanaka
Affiliations:
Department of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto, Japan;Department of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto, Japan;Department of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto, Japan
Venue:
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
Year:
2007

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Abstract

This paper presents a method to extract appearance descriptions for a given set of objects. Conversion between an object name and its appearance descriptions is useful for various applications, such as searching for an unknown object, memory recall support, and car/walk navigation. The method is based on text mining applied to Web search results. Using a manually constructed dictionary of visual modifiers, our system obtains a set of pairs of a visual modifier and a component/class for a given name of object, which best describe its appearance. The experimental results have demonstrated the effectiveness of our method in discovering appearance descriptions of various types of objects.