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Large-scale cross-media analysis and mining from socially curated contents
2014
Progress in Informatics
The major interest of the current social network service (SNS) developers and users are rapidly shifting from conventional text-based (micro)blogs such as Twitter and Facebook to multimedia contents such as Flickr, Snapchat, MySpace and Tumblr. However, the ability to analyze and exploit unorganized multimedia contents on those services still remain inadequate, even with state-of-the-art media processing and machine learning techniques. This paper focuses on another emerging trend called social
doi:10.2201/niipi.2014.11.4
fatcat:gmelnpaf5bgmnegai7fox3g2b4