Segmentation of video by clustering and graph analysis
Computer Vision and Image Understanding
Support vector machines applied to face recognition
Proceedings of the 1998 conference on Advances in neural information processing systems II
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
A robust minimax approach to classification
The Journal of Machine Learning Research
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Video Mining
A highly efficient system for automatic face region detection in MPEG video
IEEE Transactions on Circuits and Systems for Video Technology
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Content-based video indexing and retrieval algorithms are presented in this paper that aim at temporally indexing a video sequence according to actors. Our system splits a video into a sequence of a few representative frames. We use color information and then SGLD matrix on the representative frames for face region detection. Detected faces are used to build a face database. We construct eigen faces applying PCA on the faces in the face database for extracting important features. Extracted features are then used in MPM for identifying the input face from the training faces. Experimental result shows that our approach can correctly recognize 95.3% and 90.84% of the faces from the AT&T face database and video sequence respectively.