CONFERENCE (INTERNATIONAL) Multimodal Content-Aware Image Thumbnailing
The 25th International Conference on World Wide Web (Posters) (WWW 2016)
April 11, 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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