Mining visual patterns from K-pop videos

Yannet Interian
University of San Francisco

We explore the recent history of Korean popular music by analyzing visual features of thousands of videos. We compute fingerprints for each video to find patterns. We use these patterns to compare artists across time, and musical production networks across time.

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