Algorithms for clustering data
Algorithms for clustering data
Automated annotation of human faces in family albums
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Face Authentication Test on the BANCA Database
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Leveraging face recognition technology to find and organize photos
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
EasyAlbum: an interactive photo annotation system based on face clustering and re-ranking
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Agglomerative hierarchical clustering with constraints: theoretical and empirical results
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Automatic person annotation of family photo album
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Consumer image retrieval by estimating relation tree from family photo collections
Proceedings of the ACM International Conference on Image and Video Retrieval
Improving face clustering using social context
Proceedings of the international conference on Multimedia
Facial expression based automatic album creation
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Photo search in a personal photo diary by drawing face position with people tagging
Proceedings of the 16th international conference on Intelligent user interfaces
Dynamic estimation of family relations from photos
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
User interaction techniques for multimedia retrieval
Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments
Face-Based people searching in videos
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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People are often the most important subjects in photos, and the ability of finding photos of a particular person easily and quickly in an image collection is highly desired. In this paper, we present a face clustering system which automatically groups photos into clusters, with each cluster containing photos of the same person. This is done based on an advanced face recognition engine and a semi-supervised clustering approach. The system achieved good clustering accuracy when tested on different image sets and by different users. Moreover, features such as adding new images, face cluster navigation and face based image retrieval are added that greatly improve the usability of the system. It also facilitates efficient manual manipulations of clustering results. On top of this technology, image navigation systems have been built, including the "face bubble" visualization which provides one-glance view of a photo collection, and shows the relations among people.