Items where author is affiliated with Microsoft Advanced Technology Center
Number of items: 2.
and Mei, Tao
and Liu, Chris
and Hua, Xian-Sheng GameSense.
This paper presents a novel game-like advertising system called GameSense, which is driven by the compelling contents of online images. Given a Web page which typically contains images, GameSense is able to select suitable images to create online in-image games for advertising. The contextually relevant ads (i.e., product logos) are embedded at appropriate positions within the online games. The ads are selected based on not only textual relevance but also visual content similarity. The game is able to provide viewers rich experience and thus promote the embedded ads to provide more effective advertising.
and Hua, Xian-Sheng
and Yang, Linjun
and Wang, Meng
and Zhang, Hong-Jiang Tag Ranking.
Social media sharing web sites like Flickr allow users to annotate images with free tags, which signiﬁcantly facilitate Web image search and organization. However, the tags associated with an image generally are in a random order without any importance or relevance information, which limits the effectiveness of these tags in search and other applications. In this paper, we propose a tag ranking scheme, aiming to automatically rank the tags associated with a given image according to their relevance to the image content. We ﬁrst estimate initial relevance scores for the tags based on probability density estimation, and then perform a random walk over a tag similarity graph to reﬁne the relevance scores. Experimental results on a 50, 000 Flickr photo collection show that the proposed tag ranking method is both effective and efficient. We also apply tag ranking into three applications: (1) tag-based image search, (2) tag recommendation, and (3) group recommendation, which demonstrates that the proposed tag ranking approach really boosts the performances of social-tagging related applications.
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