Temporal event clustering for digital photo collections

Authors:
Matthew Cooper;Jonathan Foote;Andreas Girgensohn;Lynn Wilcox
Affiliations:
FX Palo Alto Laboratory, Palo Alto, CA;FX Palo Alto Laboratory, Palo Alto, CA;FX Palo Alto Laboratory, Palo Alto, CA;FX Palo Alto Laboratory, Palo Alto, CA
Venue:
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Year:
2003

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Abstract

We present similarity-based methods to cluster digital photos by time and image content. The approach is general, unsupervised, and makes minimal assumptions regarding the structure or statistics of the photo collection. We present results for the algorithm based solely on temporal similarity, and jointly on temporal and content-based similarity. We also describe a supervised algorithm based on learning vector quantization. Finally, we include experimental results for the proposed algorithms and several competing approaches on two test collections.