Edge detection based on variable-length codes of block coded...

Pulse or digital communications – Bandwidth reduction or expansion – Television or motion video signal

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Reexamination Certificate

active

07054367

ABSTRACT:
Edges are detected in block coded video by a threshold comparison upon the lengths of variable-length codes used for encoding the differential DC coefficients of the pixel blocks. A thinning filter compares the code lengths of the differential DC coefficients of adjacent blocks in order to retain the edge indications of more significant edges and to exclude the edge indications of less significant edges. The edge indications can be split into substantially independent channels for luminance or chrominance, for edges having positive or negative horizontal gradient components, and for edges having positive or negative vertical gradient components. The edge indications for successive frames in an MPEG sequence are compared to each other in various ways in order to detect scene changes.

REFERENCES:
patent: 5488418 (1996-01-01), Mishima et al.
patent: 5565998 (1996-10-01), Coombs et al.
patent: 6801672 (2004-10-01), Thomas
“Information technology—Generic coding of moving pictures and associated audio information: Systems,” International Standard, ISO/IEC 13818-1:1996(E), 136 pages.
“Information technology—Generic coding of moving pictures and associated audio information: Video,” International Standard, ISO/IEC 13818-2:1996(E), 211 pages.
“Information technology—Generic coding of moving pictures and associated audio information—Part 3: Audio,” International Standard, ISO/IEC 13818-3:1995(E), 118 pages.
“A Guide to MPEG Fundamentals and Protocol Analysis (Including DVB and ATSC),” Tektronix, Inc., Beaverton, Oregon, 1997, 48 pages.
Boon-Lock Yeo, “On fast microscopic browsing of MPEG-compressed video,” IBM T.J. Watson Research Center, Jan. 1998, Multimedia Systems 7, 1999, pp. 269-281.
Nilesh V. Patel and Ishwar K. Sethi,Compressed Video Processing For Cut Detection,Vision and Neural Networks Laboratory, Dept. of Computer Science, Wayne State University, Detroit, MI, Oct. 1997, 26 pages.
Nilesh V. Patel and Ishwar K. Sethi,Video Shot Detection and Characterization for Video Databases,Vision and Neural Networks Laboratory, Dept. of Computer Science, Wayne State University, Detroit, MI, Oct. 1997, 22 pages.
Bo Shen, Ishwar K. Sethi and Vasudev Bhaskaran,DCT Convolution and Its Application In Compressed Video Editing,Dept. of Computer Science, Wayne State University, Detroit, MI and Visual Computing Dept., Hewlett-Packard Laboratories, Palo Alto, CA,To appear in SPIE VCDIP '97, also submitted to IEEE Trans. Cir. And Sys. For Video Tech.,11 pages.
B. Shen and I.K. Sethi,Convolution-Based Edge Detection for Image/Video in Block DCT Domain,Vision & Neural Networks Laboratory, Dept. of Computer Science, Wayne State University, Detroit, MI,To appear in Journal of Visual Communications and Image Representation,19 pages.
Bo Shen and Ishwar K. Sethi,Direct feature extraction from compressed images,Vision and Neural Networks Laboratory, Dept. of Computer Science, Wayne State University, Detroit, MI,SPIEvol. 2670,Storage&Retrieval for Image and Video Databases IV,1996, 12 pages.
Bo Shen and Ishwar K. Sethi,Block-Based Manipulations On Transform-Compressed Images and Videos,Vision and Neural Networks Laboratory, Dept. of Computer Science, Wayne State University, Detroit, MI,To appear in Multimedia Systems,26 pages.
Bo Shen and Ishwar K. Sethi,Inner-Block Operations On Compressed Images,Vision and Neural Networks Laboratory, Dept. of Computer Science, Wayne State University, Detroit, MI,ACM Multimedia '95,San Francisco, CA, Nov. 5-9, 1995, 10 pages.
Tony Lindeberg,Scale-space: A framework for handling image structures at multiple scales,Computational Vision and Active Perception Laboratory, Department of Numerical Analysis and Computing Science KTH, (Royal Institute of Technology), Stockholm, Sweden, http://www.nada.kth.se/˜tony/cern-review/cern-html/cern-html.html;http://www.nada.kth.se/˜tony/cern-review/cern-html/cern-html
ode1.html—to—node.22.html, dated as early as Sep. 27, 2001, 30 pages.
Image Processing: Edge Detection, Rice University, Houston, Texas, http://www.owlnet.rice.edu/˜elec539/Projects97/morphjrks/moredge.html; http://www.owlnet.rice.edu/˜elec539/Projects97/morphjrks/laplacian.html; http://www.owlnet.rice.edu/˜elec539/Projects97/morphjrks/automorph.html; http://www.owlnet.rice.edu/˜elec539/Projects97/morphjrks/themainpage.html; http://www.owlnet.rice.edu/˜elec539/Projects97/morphjrks/morph.html; http://www.owlnet.rice.edu/˜elec539/Projects97/morphjrks/perf—point.html; http://www.owlnet.rice.edu/˜elec539/Projects97/morphjrks/warp.html; http://www.owlnet.rice.edu/˜elec539/Projects97/morphjrks/warpsri.html; http://www.owlnet.rice.edu/˜elec539/Projects97/morphjrks/trans.html;http://www.owlnet.rice.edu/˜elec539/Projects97/morphjrks/perf.html; dated as early as Sep. 27, 2001, 22 pages.
Mike Heath, Sudeep Sarkar, Thomas Sanocki, and Kevin Bowyer,Comparison of Edge Detectors: A Methodology and Initial Study,Computer Science & Engineering, Dept. of Psychology, University of South Florida, Tampa, Florida, 35 pages.
Michael D. Heath,A Robust Visual Method For Assessing The Relative Performance of Edge Detection Algorithms,Master's Thesis, Dec. 1996, University of South Florida, 145 pages.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Edge detection based on variable-length codes of block coded... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Edge detection based on variable-length codes of block coded..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Edge detection based on variable-length codes of block coded... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3587832

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.