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WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
On the Coöperative Creation of Multimedia Meaning
SAMT '09 Proceedings of the 4th International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
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ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
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Pattern Recognition
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CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Home photo retrieval: time matters
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
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Pattern Recognition Letters
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HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: users and contexts of use - Volume Part III
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Consumers need help finding digital photographs in their personal collections. AutoAlbum helps users find their photos by automatically clustering photos into albums. The albums are presented in an easy-to-use browsing user interface. AutoAlbum uses the time and order of photo creation to assist in clustering: albums consist of temporally contiguous photos. The content-based clustering algorithm is best-first probabilistic model merging, which is fast and yields clusters that are often semantically meaningful.