Identification of coreference between names and faces

Authors:
Koichi Yamada;Kazunari Sugiyama;Yasunori Yonamine;Hiroshi Nakagawa
Affiliations:
Yokohama National University, Yokohama City, Kanagawa, Japan;Yokohama National University, Yokohama City, Kanagawa, Japan;Yokohama National University, Yokohama City, Kanagawa, Japan;Yokohama National University, Yokohama City, Kanagawa, Japan
Venue:
CorefApp '99 Proceedings of the Workshop on Coreference and its Applications
Year:
1999

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Abstract

To retrieve multimedia contents by their meaning, it is necessary to use not only the contents of distinct media, such as image or language, but also a certain semantic relation holding between them. For this purpose, in this paper, we propose a method to find coreferences between human names in the article of newspaper and human faces in the accompanying photograph. The method we proposed is based on the machine learning and the hypothesis driven combining method for identifying names and corresponding faces. Our experimental results show that the recall and precision rate of our method are better than those of the system which uses information exclusively from either text media or image media.