カンファレンス (国際) Multimodal Content-Aware Image Thumbnailing
The 25th International Conference on World Wide Web (Posters) (WWW 2016)
News article recommendation has the key problem of needing to eliminate the redundant information in a ranked list
in order to provide more relevant information within a limited time and space. In this study, we tackle this problem
by using image thumbnailing, which can be regarded as the
summarization of news images. We propose a multimodal
image thumbnailing method considering news text as well
as images themselves. We evaluate this approach on a real
data set based on news articles that appeared on Yahoo!
JAPAN. Experimental results demonstrate the effectiveness
of our proposed method.
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