Tracking Large-Scale Video Remix in Real-World Events
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Xie, Lexing
Natsev, Apostol
He, Xuming
Kender, John R
Hill, Matthew L.
Smith, John R
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Volume Title
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Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
Content sharing networks, such as YouTube, contain traces of both explicit online interactions (such as likes, comments, or subscriptions), as well as latent interactions (such as quoting, or remixing, parts of a video). We propose visual memes, or freque
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IEEE Transactions on Multimedia
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Book Title
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Restricted until
2037-12-31
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