Temporal event clustering for digital photo collections
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Give and take: a study of consumer photo-sharing culture and practice
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Toward a Common Event Model for Multimedia Applications
IEEE MultiMedia
Combining image descriptors to effectively retrieve events from visual lifelogs
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Managing Diversity in Knowledge
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Event composition operators: ECO
EiMM '09 Proceedings of the 1st ACM international workshop on Events in multimedia
Event recognition from photo collections via PageRank
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Detecting Significant Events in Personal Image Collections
ICSC '09 Proceedings of the 2009 IEEE International Conference on Semantic Computing
Translating Journalists' Requirements into Features for Image Search
VSMM '09 Proceedings of the 2009 15th International Conference on Virtual Systems and Multimedia
DENCLUE 2.0: fast clustering based on kernel density estimation
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Semantic disambiguation in folksonomy: a case study
NLP4DL'09/AT4DL'09 Proceedings of the 2009 international conference on Advanced language technologies for digital libraries
Event detection and scene attraction by very simple contextual cues
J-MRE '11 Proceedings of the 2011 joint ACM workshop on Modeling and representing events
Exploitation of time constraints for (sub-)event recognition
J-MRE '11 Proceedings of the 2011 joint ACM workshop on Modeling and representing events
Automated event clustering and quality screening of consumer pictures for digital albuming
IEEE Transactions on Multimedia
Proceedings of the 20th ACM international conference on Multimedia
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We are addressing the problem of organizing and indexing one's personal media. Recent approaches of media indexing use events as media aggregators, but do not fully consider the context in which the media asset has been produced and do not take the personal perspective of the user into account. To this end, we propose a new paradigm for the automated indexing of social media based on the the notion of personal events. We reveal both personal habits of a user by analyzing the patterns of capturing images in space and time, while we also improve the understanding of photos over the years by learning the user's personal behavior. Our fully automatic and computationally inexpensive approach outperforms the state of the art in event-based media indexing. Moreover, we aim to push two main ideas to the problem: (1) We automatically assign the events to routine locations and non-routine locations. This gives the basic nature of events. (2) We hierarchically arrange events at non-routine locations until a routine location is reached again and the round trip is complete. This highly coincides with the given ground-truth at large scale experiments on Picasaweb. We provide experimental validation on a data-set crawled from Picasaweb which consists of about 42,000 photos taken by 5 users in a time period of 37 years, outperforming the state-of-the-art significantly.