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Visual memes in social media: tracking real-world news in YouTube videos

Xie, Lexing; Natsev, Apostol; Kender, John R; Hill, Matthew L.; Smith, John R


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]

CollectionsANU Research Publications
Date published: 2011
Type: Conference paper
Source: Visual Memes in Social Media
DOI: 10.1145/2072298.2072307


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