Web-based Multimedia Information Extraction Based on Social Redundancy
نویسندگان
چکیده
Social networking sites are among the most frequently visited on the web (Cha et al. 2007) and their use has expanded into professional contexts for expertise sharing and knowledge discovery (Millen, Feinberg and Kerr 2006). These virtual communities can be enormous, with millions of users and shared resources. Social multimedia websites, such as YouTube, are particularly popular. Network traffic involving YouTube accounts for 20% of web traffic and 10% of all internet traffic (Cheng, Dale and Liu 2007). This chapter focuses on new techniques for information extraction from such social multimedia sites, to support improved search and browsing.
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