System and method for applying digital make-up in video...

Television – Two-way video and voice communication – Conferencing

Reexamination Certificate

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Details

C348S014070, C348S348000, C348S014120

Reexamination Certificate

active

07612794

ABSTRACT:
A method of digitally adding the appearance of makeup to a videoconferencing participant. The system and method for applying digital make-up operates in a loop processing sequential video frames. For each input frame, there are typically three general steps: 1) Locating the face and eye and mouth regions; 2) Applying digital make-up to the face, preferably with the exception of the eye and open mouth areas; and 3) Blending the make-up region with the rest of the face. In one embodiment of the invention, the background in the frame containing a video conferencing participant can also be modified so that other video conferencing participants cannot clearly see the background behind the participant in the image frame. In one such embodiment of the invention, the video conferencing participant tries to make his or her own image look comical or altered. In another embodiment of the invention, a particular remote participant tries to make another participant look funny to the other participants.

REFERENCES:
patent: 6278491 (2001-08-01), Wang et al.
patent: 6526161 (2003-02-01), Yan
patent: 7227567 (2007-06-01), Beck et al.
patent: 2001/0037191 (2001-11-01), Furuta et al.
patent: 2004/0114731 (2004-06-01), Gillett et al.
patent: 2004/0170337 (2004-09-01), Simon et al.
patent: 2004/0218827 (2004-11-01), Cohen et al.
patent: 2006/0001673 (2006-01-01), Brand
patent: 2008/0158333 (2008-07-01), Krisbergh et al.
European Search Report, Application No. PCT/US06/14268, Date of Completion: May 29, 2007, Date of Mailing Nov. 6, 2007.
Connell, J., A. W. Senior, A. Hampapur, Y.-L. Tian, L. Brown and S. Pankanti, Detection and Tracking in the IBM PeopleVision system, IEEE Int'l Conf. on Multimedia and Expo, 2004, vol. 2, pp. 1403-1406.
Elgammal, A., D. Harwood, and L.S. Davis, Non-parametric model for background subtraction, European Conf. on Comp. Vision, 2000, pp. 751-767.
Friedman, N., and S. Russell, Image segmentation in video sequences: A probabilistic approach, Proc. of the 13th Conf. on Uncertainty in Artificial Intelligence, 1997, pp. 175.181.
Harville, M., A framework for high-level feedback to adaptive per-pixel, mixture-of-Gaussian background models, European Conf. on Comp. Vision, 2002, vol. 3, pp. 543-560.
Kolmogorov, V., A. Criminisi, A. Blake, G. Cross and C. Rother, Bi-layer segmentation of binocular stereo vision, Comp. Vision and Pattern Recognition, 2005, vol. 2, pp. 407-414.
Logitech Video Effects, http://www.logitech.com/index.cfm/products/videoeffects/information/US/EN,CRID=2448,CONTENTID=11070.
Lou, H., and A. Eleftheriadis, Model-based segmentation and tracking of head-and-shoulder video objects for real time multimedia services, IEEE Trans. on Multimedia, Sep. 2003, vol. 5, No. 3, pp. 379-389.
Mittel, A., and N. Paragois, Motion-based background subtraction using adaptive kernel density estimation, Comp. Vision and Pattern Recognition, 2004, pp. 302-309.
Rittscher, J., J. Kato, S. Joga, and A. Blake, A probabilistic background model for tracking, European Conf. on Comp. Vision, 2000, vol. 2, pp. 336-350.
Stauffer, C., and W. E. L. Grimson, Adaptive background mixture models for real-time tracking, Comp. Vision and Pattern Recognition, 1999, vol. 2, pp. 246-252.
Toyama, K., J. Krumm, B. Brumitt and B. Meyers, Wallflower: Principles and practice of background maintenance, Proc. 7th Int'l Conf. on Comp. Vision, Sep. 1999, pp. 255-261.
Viola, P., and M. Jones, Rapid object detection using a boosted cascade of simple features, Comp. Vision and Pattern Recognition, 2001, Kauai, HI, vol. 1, pp. 511-518.
Wang, J. Y. A., and E. H. Adelson, representing moving images with layers, IEEE Trans. on Image Processing, 1994, vol. 3, No. 5, pp. 625-638.
Wren, C., A. Azarbayejani, T. Darrel, and A. Pentland, Pfinder: Real time tracking of the human body, IEEE Trans. on PAMI, 1997, vol. 19, No. 7, pp. 780-785.
Xiao, J. J., and M. Shah, Motion layer extraction in the presence of occlusion using graph cut, Comp. Vision and Pattern Recognition, 2004, vol. 2, pp. 972-979.
Xiao, R., M.-J. Li and H.-J. Zhang, Robust multi-pose face detection in images, IEEE Trans. on CSVT, Jan. 2004, vol. 14, No. 1, pp. 31-41.
Zhang, C., and Y. Rui, Robust visual tracking via pixel classification and integration, Proc. of the 18th Int'l Conf. on Pattern Recognition, 2006, vol. 3, pp. 37-42.

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