Image analysis – Applications – Motion or velocity measuring
Reexamination Certificate
2004-10-07
2008-11-25
Le, Brian Q (Department: 2624)
Image analysis
Applications
Motion or velocity measuring
C348S143000
Reexamination Certificate
active
07457438
ABSTRACT:
Methods and apparatus, including computer program products, implementing and using techniques for camera pan vector estimation, are disclosed. A camera model is provided for representing motion vectors based on a plurality of parameters. A distribution of the motion vectors is generated. A cluster in the distribution of motion vectors is identified. A center of mass of the identified cluster is determined. The camera pan vector is provided based upon the determined center of mass.
REFERENCES:
patent: 4980764 (1990-12-01), Henot
patent: 5259040 (1993-11-01), Hanna
patent: 5317397 (1994-05-01), Odaka et al.
patent: 5583580 (1996-12-01), Jung
patent: 5764803 (1998-06-01), Jacquin et al.
patent: 5777682 (1998-07-01), De Haan et al.
patent: 5786872 (1998-07-01), Miyazaki et al.
patent: 5987164 (1999-11-01), Szeliski et al.
patent: 6178205 (2001-01-01), Cheung et al.
patent: 6236763 (2001-05-01), Wong et al.
patent: 6278736 (2001-08-01), De Haan et al.
patent: 6349114 (2002-02-01), Mory
patent: 6658059 (2003-12-01), Iu et al.
patent: 7203237 (2007-04-01), Fernandes
patent: 2002/0113901 (2002-08-01), Osberger
patent: 2002/0163969 (2002-11-01), Zhong et al.
patent: 2002/0191841 (2002-12-01), Harman
patent: 2002/0196362 (2002-12-01), Yang et al.
patent: 2003/0072373 (2003-04-01), Sun
patent: 2003/0086498 (2003-05-01), Lee et al.
patent: 2003/0152149 (2003-08-01), Denolf
patent: 2003/0156646 (2003-08-01), Hsu et al.
patent: 2003/0194151 (2003-10-01), Wang et al.
patent: 2004/0120401 (2004-06-01), Linzer et al.
patent: 2004/0202250 (2004-10-01), Kong et al.
patent: 2005/0013365 (2005-01-01), Mukerjee
patent: 2005/0276329 (2005-12-01), Adiletta et al.
patent: 2006/0072790 (2006-04-01), Whitebrood et al.
patent: 2006/0232666 (2006-10-01), Op De Beeck et al.
patent: 2007/0092111 (2007-04-01), Whittebrood et al.
patent: 1127906 (1996-07-01), None
patent: 0 242 935 (1987-10-01), None
patent: 0 294 956 (1988-05-01), None
patent: 0 376 330 (1990-07-01), None
patent: 0 466 981 (1990-07-01), None
patent: 0772365 (1997-05-01), None
patent: 0 849 950 (1998-06-01), None
patent: 1 117 251 (2001-07-01), None
patent: 1 587 328 (2005-10-01), None
patent: 2 286 740 (1995-08-01), None
patent: 2 311 183 (1997-09-01), None
patent: 87/05770 (1987-09-01), None
patent: 94/06098 (1994-03-01), None
patent: WO 99/60779 (1999-11-01), None
patent: 00/30359 (2000-05-01), None
patent: 02/09611 (2002-02-01), None
patent: WO 02/09611 (2002-02-01), None
patent: 02/19721 (2002-03-01), None
patent: W0 02/087210 (2002-10-01), None
patent: WO 03007618 (2003-01-01), None
Jostschulte et al., “A Subband Based Spatio-Temporal Noise Reduction Technique for Interlaced Video Signals,” pp. 438-439, International Conference on Consumer Electronics, Los Angeles, CA, Jun. 2-4, 1998.
Jostschulte et al., “Perception Adaptive Temporal TV-Noise Reduction Using Contour Preserving Prefilter Techniques,” IEEE Transactions on Consumer Electronics, vol. 44, No. 3, pp. 1091-1096.
de Haan et al., “Television Noise Reduction IC,” IEEE Transactions on Consumer Electronics, vol. 44, No. 1, Feb. 1998, pp. 143-154.
Ryu, et al., “Deinterlacing Using Motion Compensated Local Spectra,” Proceedings of Asilomar-29, IEEE 1996, pp. 1394-1397.
Ohm et al., “Variable-Raster Multiresolution Video Processing With Motion Compensation Techniques,” Proceedings IEEE 4thInternational Conference on Image Processing (ICIP-97), vol. 1, pp. 759-762, Oct. 1997.
Gerard de Haan, “IC for Motion Compensated De-Interlacing, Noise Reduction, and Picture Rate Conversion,” IEEE Transactions on Consumer Electronics, vol. 45, Aug. 1999, pp. 617-624.
Braun et al., “Motion-Compensating Real-Time Format Converter for Video on Multimedia Displays,” Proceedings IEEE 4thInternational Conference on Image Processing (ICIP-97), vol. 1, pp. 125-128, Oct. 1997.
Kalevo et al., “Motion Compensated Deinterlacing,” 1993 IEEE, pp. 40-41.
de Haan et al., “Real-Time 2-3 Pull-Down Elimination Applying Motion Estimation/Compensation in a Programmable Device,” Consumer, vol. 44, No. 3, Aug. 1998, pp. 930-938.
Patti, et al., “A New Motion-Compensated Reduced-Order Model Kalman Filter for Space-Varying Restoration of Progressive and Interlaced Video,” IEEE Transactions on Image Processing, vol. 7, No. 4, Apr. 1998, pp. 543-554.
Delogne et al., “Improved Interpolation, Motion Estimation, and Compensation for Interlaced Pictures,” IEEE Transactions on Image Processing, vol. 3, No. 5, Sep. 1994, pp. 482-491.
Gu et al., “IIR Digital Filters for Sampling Structure Conversion and Deinterlacing of Video Signals,” ISCAS 1995, pp. 973-976.
de Haan, et al., “De-Interlacing of Video Data,” IEEE Transactions on Consumer Electronics, vol. 43, No. 3, Aug. 1997, pp. 819-825.
Thomas, “A Comparison of Motion-Compensated Interlace-To-Progressive Conversion Methods,” BBC Research and Development Report, 1996.
Bellers et al., “Advanced De-Interlacing Techniques,” Proceedings ProRISC/IEEEE Workshop on Circuits, Systems and Signal Processing, Mierlo, The Netherlands, Nov. 1996, pp. 7-17.
Kwon et al., “Deinterlacing Using Directional Interpolation and Motion Compensation,” IEEE Transactions on Consumer Electronics, vol. 49, No. 1, Feb. 2003, pp. 198-203.
Vandendorpe et al., “Generalized Interpolators for Advanced Movement-Compensated 50HZ-60HZ Conversion of Interlaced Sequences,” ICIP 1995, pp. 2237-2240.
Schu et al., “System on Silicon-IC for Motion Compensated Scan Rate Conversion, Picture-In-Picture Processing, Split Screen Applications and Display Processing,” Digest of the ICCE 99 Conference, pp. 172-173, Jun. 1999.
Kalevo et al., “Deinterlacing of Video Signals Using Nonlinear Interpolation With Simple Motion Compensation,” Signal Processing Laboratory, Tampere University of Technology, pp. 4.1-4.6.
Liang, “Phase-Correlation Motion Estimation,” EE 392J, Final Project, pp. 1-9.
Sun, “De-Interlacing of Video Images Using a Shortest Path Technique,” IEEE Transactions on Consumer Electronics, vol. 47, No. 2, May 2001, pp. 225-230.
Oh et al., “Spatio-Temporal Edge-Based Median Filtering for Deinterlacing,” Proceedings of the International Conference on Consumer Electronics, 2000, Los Angeles, CA, Jun. 2000, pp. 52-53.
Kovacevic et al., “Deinterlacing by Successive Approximation,” IEEE Transactions on Image Processing, vol. 6, No. 2, Feb. 1997, pp. 339-344.
Vella et al., “Digital Image Stabilization by Adaptive Block Motion Vectors Filtering,” IEEE Transactions on Consumer Electronics, vol. 48, No. 3, Aug. 2002, XP-002284976.
Park et al., “Robust estimation of camera parameters from image sequence for video composition,” Signal Processing Image Communication, Elsevier Science Publishers, Amsterdam, NL, vol. 9, No. 1, Nov. 1996, pp. 43-53, XP004071578.
Migliorati et al., Multistage motion estimation for image interpolation, Signal Processing Image Communication, Elsevier Science Publishers, Amsterdam, NL, vol. 7, No. 3, Sep. 1995, pp. 187-199, XP004047102.
Singapore Examination Report dated Mar. 23, 2007 from corresponding Singapore Application No. 200407680-8.
International Examination Report dated May 18, 2007 in corresponding Singapore application 200406810-2.
Examination Report dated Sep. 11, 2006 from corresponding European Patent Application No. 04257653.8.
International Search Report dated May 31, 2006 from corresponding Singapore Application No. 200406810-2.
Yang et al., “Low Bit Rate Video Sequencing Coding Artifact Removal”, Multimedia Signal Processing, 2001 IEEE Fourth Workshop on Oct. 3-5, 2001.
Yuen et al., “A survey of hybrid MC/DPCM/DCT video coding distortions”, Signal Processing, Elsvier Science Publishers B.V. Amsterdam, NL, vol. 70, No. 3, Nov. 30, 1998.
Choi et al., “Motion Adaptive 3D Y/C Separation Algorithm Using Motion Estim
Abdi Amara
Beyer Law Group LLP
Genesis Microchip Inc.
Le Brian Q
LandOfFree
Robust camera pan vector estimation using iterative center... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Robust camera pan vector estimation using iterative center..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Robust camera pan vector estimation using iterative center... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4032272