Clustering Media Items Stemming from Multiple Social Networks
The Computer Journal(2015)
摘要
We have created and evaluated an algorithm capable of deduplicating and clustering exact- and near-duplicate media items of type photo and video that get shared on multiple social networks in the context of events. This algorithm works in an entirely ad hoc manner without requiring any pre-calculation. When people attend events, they more and more share event-related media items publicly on social...
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关键词
clustering,deduplication,social networks,media items,event summarization,media galleries
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