Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
Data Mining and Knowledge Discovery
Automatic organization for digital photographs with geographic coordinates
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Temporal event clustering for digital photo collections
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
PhotoGeo: A Self-Organizing System for Personal Photo Collections
ISM '08 Proceedings of the 2008 Tenth IEEE International Symposium on Multimedia
A smart clustering algorithm for photo set obtained from multiple digital cameras
Proceedings of the 2009 ACM symposium on Applied Computing
Context-aware person identification in personal photo collections
IEEE Transactions on Multimedia - Special issue on integration of context and content
Expandindo e utilizando informações de contexto para a sugestao de anotações de fotografias digitais
Proceedings of the 14th Brazilian Symposium on Multimedia and the Web
Learning similarity metrics for event identification in social media
Proceedings of the third ACM international conference on Web search and data mining
A context-aware solution to annotate people in mobile devices
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
Digital photo classification methodology for groups of photographers
Multimedia Tools and Applications
Learning people co-occurrence relations by using relevance feedback for retrieving group photos
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Image classification for content-based indexing
IEEE Transactions on Image Processing
Personalized presentations from community assets
Proceedings of the 19th Brazilian symposium on Multimedia and the web
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Currently one of the main features of events such as birthday party, wedding, conferences, and trips is the amount of photos taken from different digital cameras. The plethora of photo devices such as smartphones and tablets have contributed for this avalanche of photos. Social networks such as Facebook, Orkut, Flickr, and Picasa store a large volume of photos. As a consequence, the retrieval of such photos demands new systems. The automatic annotation of photo context metadata such as timestamp, and geographic coordinates, represents a challenge. In this paper, we propose a method for automatic event detection based on photos taken from different cameras in a same event. The proposed method aims to improve the retrieval of photos in a same event, to make cross tagging and to detect errors in the annotations.