Probabilistic person identification in TV news programs using image web database

The automatic labeling of faces in TV broadcasting is still a challenging problem. The high variability in view points, facial expressions, general appearance, and lighting conditions, as well as occlusions, rapid shot changes, and camera motions, produce significant variations in image appearance. The application of automatic tools for face recognition is not yet fully established and the human intervention is needed. In this paper, we deal with the automatic face recognition in TV broadcasting programs. The target of the proposed method is to identify the presence of a specific person in a video by means of a set of images downloaded from Web using a specific search key.

[1]  Alessandro Neri,et al.  A study on the impact of AL-FEC techniques on TV over IP Quality of Experience , 2011, EURASIP J. Adv. Signal Process..

[2]  David J. Kriegman,et al.  Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.

[3]  Rainer Stiefelhagen,et al.  “Knock! Knock! Who is it?” probabilistic person identification in TV-series , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[4]  Paul A. Viola,et al.  Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[5]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[6]  Svetha Venkatesh,et al.  Face Recognition via the Overlapping Energy Histogram , 2007, IJCAI.

[7]  Alex Pentland,et al.  Beyond eigenfaces: probabilistic matching for face recognition , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

[8]  Giulia Boato,et al.  Reversible watermarking via histogram shifting and least square optimization , 2010, MM&Sec '10.

[9]  Jaakko Astola,et al.  A fibonacci LSB data hiding tecnique , 2006, 2006 14th European Signal Processing Conference.

[10]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[11]  Andrew Zisserman,et al.  Hello! My name is... Buffy'' -- Automatic Naming of Characters in TV Video , 2006, BMVC.

[12]  Alessandro Neri,et al.  Watermarking and encryption of color images in the Fibonacci domain , 2008, Electronic Imaging.

[13]  Andrew Zisserman,et al.  "Who are you?" - Learning person specific classifiers from video , 2009, CVPR.