Image analysis – Image compression or coding
Reexamination Certificate
2007-10-23
2007-10-23
Bella, Matthew C. (Department: 2624)
Image analysis
Image compression or coding
C382S233000, C382S253000, C382S305000, C715S850000
Reexamination Certificate
active
11617828
ABSTRACT:
A system and method are disclosed which include providing a first layer of an image, the first layer including features of the image having locations within the first layer; and providing a second layer of the image, the second layer including data blocks corresponding to respective ones of the features; each data block being in a location in the second layer substantially corresponding to a location in the first layer of the feature corresponding to each data block, wherein a size and shape of the second layer substantially correspond to a size and shape of said first layer.
REFERENCES:
patent: 4532605 (1985-07-01), Waller
patent: 4847788 (1989-07-01), Shimada
patent: 5471572 (1995-11-01), Buchner et al.
patent: 5590250 (1996-12-01), Lamping et al.
patent: 5666475 (1997-09-01), Salesin et al.
patent: 5999187 (1999-12-01), Dehmlow et al.
patent: 6002406 (1999-12-01), Zhao
patent: 6034661 (2000-03-01), Servan-Scheiber et al.
patent: 6154213 (2000-11-01), Rennison et al.
patent: 6184894 (2001-02-01), Rosman et al.
patent: 6204850 (2001-03-01), Green
patent: 6204857 (2001-03-01), Piazza et al.
patent: 6348921 (2002-02-01), Zhao et al.
patent: 6356659 (2002-03-01), Wiskott et al.
patent: 6360029 (2002-03-01), Moller
patent: 6373495 (2002-04-01), Lin et al.
patent: 6392661 (2002-05-01), Tankersley
patent: 6453330 (2002-09-01), Battle et al.
patent: 6476829 (2002-11-01), Smith et al.
patent: 6501482 (2002-12-01), Rosman et al.
patent: 6639598 (2003-10-01), Piazza et al.
patent: 6650326 (2003-11-01), Huber et al.
patent: 6907345 (2005-06-01), Shipley et al.
patent: 6909965 (2005-06-01), Beesley et al.
patent: 6912462 (2005-06-01), Ogaki
patent: 6927782 (2005-08-01), Coldefy et al.
patent: 6943811 (2005-09-01), Matthews
patent: 7072764 (2006-07-01), Donath et al.
patent: 2001/0030647 (2001-10-01), Sowizral
patent: 2004/0128070 (2004-07-01), Schmidt et al.
TDB-ACC-NO: NN 961137 Disclosure Title : Multidimensiona Index Structure With Multi-Level Entry and Skip-Level Search for Partially-Specified Queries Publication-Data: IBM Technical Disclosure, Nov. 1996, US.
Bill Overall, Foveated Image: Applications to Image and Video Compress, Mar. 12, 1999, http://scien.standord,edu/class/psych221/projects/99/wro.
Foley et al., Computer Graphics: Principles and Practice, Addison-Wesley Publishing Company Inc., 1997, p. 166-170.
Hierarchical Data Structures, CS488/688: Introduction to Interactive Computer Graphics, University of Waterloo, Feb. 18, 2001, http://web.archive.org/web/2001028051725/http:/medialab.di.unipi.it/web/IUM/Waterloo
ode73.html.
How to Read a United States National Grid (USNG) Spatial Address, 2000, http:/www.xyproject.org/How%20Read%20USNG/How%20to%20read%20USNG.htm.
Mix-in class for Parent Figures, May 10, 2000. http://web.archive.org/web/20030510164335/http://openhealth.com/bw/doc/auto/Parent.html.
Reading Topographic Maps, Feb. 14, 2003, http://web.archive.org/web/20030214004603/http://www.map-reading.com/ch4-3.php.
Space Variant Imaging, Nov. 25, 2002, http://web.archive/org/web/20021125075827/http://www.svi.cps.utexas.edu/index.htm.
TDB-ACC-NO: NN 961137—Disclosure Title: Multidimensional Index Structure With Multi-Level Entry and Skip-Level Search for Partially-Specified Queries.—Publication-Data: IBM Technical Disclosure Bulletin, Nov. 1996, US.
The Annotated VRML 97 Reference, 1999, http://accad.osu.edu/˜pgerstma/class/vnv/resources/info/AnnotatedVrmlRef/ch1.htm.
Bayat Ali
Bella Matthew C.
Shook Hardy & Bacon L.L.P.
LandOfFree
Method for encoding and serving geospatial or other vector... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method for encoding and serving geospatial or other vector..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for encoding and serving geospatial or other vector... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3884313