Data processing: structural design – modeling – simulation – and em – Modeling by mathematical expression
Reexamination Certificate
2007-03-13
2007-03-13
Ferris, Fred (Department: 2128)
Data processing: structural design, modeling, simulation, and em
Modeling by mathematical expression
C703S013000, C703S014000, C382S164000, C382S166000, C382S167000
Reexamination Certificate
active
09924926
ABSTRACT:
At least one predominant color in a digital image is identified by applying a detection rule to randomly-selected pixels in the image. The detection rule includes testing specific colors to reduce the probability of at least one of a false-positive outcome and a false-negative outcome.
REFERENCES:
patent: 5079630 (1992-01-01), Golin et al.
patent: 5396564 (1995-03-01), Fitzpatrick et al.
patent: 5585944 (1996-12-01), Rodriguez
patent: 5802361 (1998-09-01), Wang et al.
patent: 5835625 (1998-11-01), Fitzpatrick et al.
patent: 5859926 (1999-01-01), Asahi et al.
patent: 5891394 (1999-04-01), Drocourt et al.
patent: 5933253 (1999-08-01), Ito et al.
patent: 6011595 (2000-01-01), Henderson et al.
patent: 6049627 (2000-04-01), Becker et al.
patent: 6094453 (2000-07-01), Gosselin et al.
patent: 6128407 (2000-10-01), Inoue et al.
patent: 6304340 (2001-10-01), Wang
patent: 6373890 (2002-04-01), Freeman
patent: 6430312 (2002-08-01), Huang et al.
patent: 6434273 (2002-08-01), Gillman et al.
patent: 6449384 (2002-09-01), Laumeyer et al.
patent: 6453274 (2002-09-01), Kamon
patent: 6480627 (2002-11-01), Mathias et al.
patent: 6505002 (2003-01-01), Fields
patent: 6546130 (2003-04-01), Inoue et al.
patent: 6574364 (2003-06-01), Economidis et al.
patent: 6584154 (2003-06-01), Wu
patent: 6587583 (2003-07-01), Kurzweil et al.
patent: 6621926 (2003-09-01), Yoon et al.
patent: 6650772 (2003-11-01), Inoue et al.
patent: 6690834 (2004-02-01), Le Cornec
patent: 6701012 (2004-03-01), Matthews
patent: 6701020 (2004-03-01), Chrysafis et al.
patent: 6744919 (2004-06-01), Said
patent: 6774917 (2004-08-01), Foote et al.
patent: 6789052 (2004-09-01), Toprac
patent: 6829063 (2004-12-01), Allebach et al.
patent: 6832006 (2004-12-01), Savakis et al.
patent: 2001/0000670 (2001-05-01), Moskalev
patent: 2001/0046318 (2001-11-01), Lee et al.
patent: 2001/0053248 (2001-12-01), Mitsuru
patent: 2002/0063719 (2002-05-01), Ziobro
patent: 2002/0071104 (2002-06-01), Silverbrook
patent: 2003/0016877 (2003-01-01), Baharav et al.
patent: 09289586 (1997-11-01), None
“A Genetic Approach to Color Image Compression”, H. Feiel, ACM 0-89791-850-9, ACM 1997.
“3D RGB Image Compression for Interactive Applications”, C. Bajaj et al, ACM Transactions on Graphics, vol. 20, No. 1, Jan. 2001.
“An Image Multiresolution Representation for Lossless and Lossy Compression”, A. Said et al, IEEE Transactions on Image Processing, vol. 5, No. 9, Sep. 1996.
“Image Compression Using the Spatial-Orientation Tree”, A. Said et al, IEEE 0-7803-1254-6/93, IEEE 1993.
“MPEG-4: an object-based multimedia coding standard supporting mobile applications”, A. Puri et al, Mobile Networks and Applications 3, 1998.
“Second-Generation Image Coding: an Overview”, M.M. Reid et al, ACM Computing Surveys, vol. 29, No. 1, Mar. 1997.
“Statistical Pattern Recognition”, A. Webb, Chapter 1, pp. 1-31, Oxford University Press, 1999 teaches statistical analysis in pattern recognition.
“Robust Mesh Watermarking”, Praun et al, ACM 1999.
“Statistical cues for Domain Specific Image Segmentation with Performance Analysis”, Konishi et al, IEEE 1063-6919/00, 2000 IEEE.
Pratt, W.K.: Digital Image Processing, 1978, Wiley & Son, USA XP002257231, pp. 539-541, on-line.
Ferris Fred
Hewlett--Packard Development Company, L.P.
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