Time as essence for photo browsing through personal digital libraries
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Automated annotation of human faces in family albums
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Leveraging face recognition technology to find and organize photos
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Leveraging context to resolve identity in photo albums
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
A scalable service for photo annotation, sharing, and search
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
EasyAlbum: an interactive photo annotation system based on face clustering and re-ranking
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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The proposed work exploits methods and techniques for automatic characterization of images for content-based access to personal photo libraries. Several techniques, even if not reliable enough to address the general problem of content-based image retrieval, have been proven quite robust in a limited domain such as the one of personal photo album. In particular, starting from the observation that most personal photos depict a usually small number of people in a relatively small number of different contexts (e.g. Beach, Public Garden, Indoor, Nature, Snow, City, etc...) we propose the use of automatic techniques borrowed from the fields of computer vision and pattern recognition to index images based on who is present in the scene and on the context where the picture were taken. Experiments on a personal photo collection of about a thousand images proved that relatively simple content-based techniques lead to surprisingly good results in term of easyness of user access to the data.