Visual memes in social media: tracking real-world news in YouTube videos
We propose visual memes, or frequently reposted short video segments, for tracking large-scale video remix in social media. Visual memes are extracted by novel and highly scalable detection algorithms that we develop, with over 96% precision and 80% recall. We monitor real-world events on YouTube, and we model interactions using a graph model over memes, with people and content as nodes and meme postings as links. This allows us to define several measures of inuence. These abstractions, using...[Show more]
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|Source:||Visual Memes in Social Media|
|01_Xie_Visual_memes_in_social_media:_2011.pdf||4.55 MB||Adobe PDF||Request a copy|
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