Image analysis – Applications – Motion or velocity measuring
Reexamination Certificate
2004-07-01
2010-10-26
Rogers, Scott A (Department: 2625)
Image analysis
Applications
Motion or velocity measuring
C382S235000
Reexamination Certificate
active
07822231
ABSTRACT:
The optical flow in an image is estimated using only parameters extracted directly from a compressed video data stream, substantially eliminating the need to decode the video data stream for this purpose. Coefficients extracted from the compressed video data stream are used to establish a confidence map indicative of the edge strength within the image data and hence the accuracy of the associated motion field. A smooth motion field is generated from the motion vectors inherent in the compressed video data stream. The motion field is then used to update the confidence map between frames, providing an estimate of the optical flow.
REFERENCES:
patent: 5991428 (1999-11-01), Taniguchi
patent: 6366701 (2002-04-01), Chalom et al.
patent: 6456731 (2002-09-01), Chiba et al.
patent: 6643387 (2003-11-01), Sethuraman et al.
patent: 2002/0154792 (2002-10-01), Cornog et al.
patent: 2009/0110076 (2009-04-01), Chen
patent: 2009/0168887 (2009-07-01), Lin
patent: 00/45339 (2000-08-01), None
patent: 01/96982 (2001-12-01), None
International Search Report for corresponding Application No. PCT/EP2004/051325 mailed Jan. 3, 2005.
Roy Wang et al.; “A confidence measure based moving object extraction system built for compressed domain”; IEEE International Symposium on Circuits and Systems; vol. 5; May 28, 2000 through May 31, 2001; pp. 21-24; XP010504123.
Jamrozik M.L. et al.; “A compressed domain motion video object segmentation system”; Proceedings 2002 International Conference on Image Processing, ICIP 2002; vol. 2 of 3; pp. 113-116; XP010607273.
R.V. Babu et al.; “Compressed domain motion segmentation for video object extraction”; IEEE International Conference on Acoustics Speech and Signal Processing; vol. 4; Sep. 22, 2002; pp. 4-3788-4-3791; May 13-17, 2002; XP002311161.
Stoffler N.O. et al.; “An image processing board with an MPEG processor and additional confidence calculation for fast and robust optic flow generation in real environments”; Advanced Robotics, 1997. Proceedings, 8thInternational Conference on Monterey, CA; Jul. 7-9, 1997; pp. 845-850; XP010244108.
Barron J.L. et al.; “Performance of optical flow techniques”; Proceedings of the Computer Society Conference on Computer Vision and Pattern Recognition. Champaign, IL, Jun. 15-18, 1992; New York IEEE; Jun. 15, 1992; pp. 236-242; XP010029350.
How-Lung Eng et al.; “Spatiotemporal segmentation of moving video objects over MPEG compressed domain”; Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on New York, NY; Jul. 30, 2000; pp. 1531-1534; XP010512797.
Coimbra Miguel
Davies Michael Evan
Queen Mary and Westfield College, University of London
Rogers Scott A
Woodcock & Washburn LLP
LandOfFree
Optical flow estimation method does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Optical flow estimation method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optical flow estimation method will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4216022