Robust Real-Time Face Detection
International Journal of Computer Vision
An efficient method for face retrieval from large video datasets
Proceedings of the ACM International Conference on Image and Video Retrieval
Interactive person-retrieval in TV series and distributed surveillance video
Proceedings of the international conference on Multimedia
Towards an automatic face indexing system for actor-based video services in an IPTV environment
IEEE Transactions on Consumer Electronics
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Videos are often characterized by the human participants, who in turn, are identified by their faces. We present a completely unsupervised system to index videos through faces. A multiple face detector-tracker combination bound by a reasoning scheme and operational in both forward and backward directions is used to extract face tracks from individual shots of a shot segmented video. These face tracks collectively form a face log which is filtered further to remove outliers or non-face regions. The face instances from the face log are clustered using a GMM variant to capture the facial appearance modes of different people. A face Track-Cluster-Correspondence-Matrix (TCCM) is formed further to identify the equivalent face tracks. The face track equivalences are analyzed to identify the shot presences of a particular person, thereby indexing the video in terms of faces, which we call the "Video Face Book ".