Robust cross-media transfer for visual event detection

Publication Type:
Conference Proceeding
Citation:
MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia, 2012, pp. 1045 - 1048
Issue Date:
2012-12-26
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In this paper, we present a novel approach, named Robust Cross-Media Transfer (RCMT), for visual event detection in social multimedia environments. Different from most existing methods, the proposed method can directly take different types of noisy social multimedia data as input and conduct robust event detection. More specifically, we build a robust model by employing anl2,1-norm regression model featuring noise tolerance, and also manage to integrate different types of social multimedia data by minimizing the distribution difference among them. Experimental results on real-life Flickr image dataset and YouTube video dataset demonstrate the effectiveness of our proposal, compared to state-of-the-art algorithms. © 2012 ACM.
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