Data networks
Time as essence for photo browsing through personal digital libraries
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
How do people manage their digital photographs?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Clustering Data Streams: Theory and Practice
IEEE Transactions on Knowledge and Data Engineering
MobShare: controlled and immediate sharing of mobile images
Proceedings of the 12th annual ACM international conference on Multimedia
Temporal event clustering for digital photo collections
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Multimedia Tools and Applications
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We present results of statistical modeling of consumer photographic media capture behaviour based on timestamp metadata. Working with real data sets, we show that it is bursty and is not well described by a Poisson model. We show that it is in fact a fractal process, with fractal dimension characteristic of the consumer. We also present an algorithm for temporal segmentation of consumer media capture streams into event clusters based on timestamp metadata, an algorithm for minimal labeling of such clusters, and a method for visualizing the results of such clustering on highly bursty data. Results of using software implementations of the algorithms to organize and to browse consumer photo collections within a multimedia information management system are presented.