System and method for encoding and decoding using texture...

Image analysis – Image compression or coding – Shape – icon – or feature-based compression

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C382S190000

Reexamination Certificate

active

07606435

ABSTRACT:
The invention provides devices and methods that process images. The invention processes a received signal representing information of texture and information of an image, which has the texture removed from at least one region. The image information is encoded to obtain encoded information of the image. An output signal is generated representing the texture information and the encoded image information. In another embodiment, the invention synthesizes texture based on the received texture information, decodes received image information, which is encoded, to obtain a decoded image, and then maps the synthesized texture onto the decoded image.

REFERENCES:
patent: 5097427 (1992-03-01), Lathrop et al.
patent: 5204920 (1993-04-01), Moran et al.
patent: 5533140 (1996-07-01), Sirat et al.
patent: 5680475 (1997-10-01), Zwierski et al.
patent: 5872867 (1999-02-01), Bergen
patent: 5926575 (1999-07-01), Ohzeki et al.
patent: 5946419 (1999-08-01), Chen et al.
patent: 6647132 (2003-11-01), Montillo et al.
patent: 6768495 (2004-07-01), Valente
patent: 6977659 (2005-12-01), Dumitras et al.
“Video Coding for Low Bit Rate Communication, H.263”, Feb. 1998,ITU-T Recommendation H.263, Series H: Audiovisual and Multimedia systems, Infrastructure of audio Visual Services—Coding of Moving Video.
H. G. Musmann, et al., “Object-oriented Analysis-synthesis Coding of Moving Images,”Signal Processing: Image Communication, vol. 1, No. 2, pp. 117-138, Nov. 1989.
D. E. Pearson, “Developments in Model-Based Video Coding”,Proceedings of IEEE, vol. 83, No. 6, pp. 892-906, Jun. 1995.
P. Gerken, “Object-based Analysis-synthesis Coding of Image Sequences at Very Low bit Rates,”IEEE Trans. on Circuits and Systems for Video Technology, vol. 4, No. 3, pp. 228-235, Jun. 1994.
M. Hotter, “Optimization and Efficiency of an Object-oriented Analysis-synthesis Coder,”IEEE Trans. on Circuits and Systems for Video Technology, vol. 4, No. 2, pp. 181-194, Apr. 1994.
A. Kaup, “Object-based Texture Coding of Moving Video in MPEG-4,”IEEE Trans. on Circuits and Systems for Video Technology, vol. 9, No. 1, pp. 5-15, Feb. 1999.
J. Ostermann, et al., “Source Models for Content-based Video Coding”, inProceedings of IEEE International Conference on Image Processing, 2000, vol. 3, pp. 62-65.
J. Osterman, et al., Difference Between an Object-based Analysis-synthesis Coder and a Block-based ybrid Coder, inProceedings of IEEE International Conference on Image Processing, 1995, vol. 2, pp. 398-401.
S. Hao, et al., “Smoothing Algorithms for Clip-and-Paste Model-Based Video Coding,” pp. 427-435, 1999.
K. Fan, et al., “An Active Scene Analysis-based Approach for Pseudoconstant Bit-rate Video Coding,”IEEE Trans. on Circuits and Systems for Video Technology, vol. 8, No. 2, pp. 159-170, Apr. 1998.
A. M. Dawood, et al., “MPEG Video Modelling Based on Scene Description,” inProceedings of IEEE International Conference on Image Processing, 1998, vol. 2, pp. 351-355.
A. Smolic, et al., “Long-term Global Motion Estimation and Its Application for Sprite Coding, Content Description and Segmentation,”IEEE Trans. on Circuits and Systems for Video Technology, vol. 9, No. 8, pp. 1227-1242, Dec. 1999.
M. Irani, et al., “Video Indexing Based on Mosaic Representations”,Proceedings of IEEE, pp. 905-921, May 2000.
H. Nicolas, “New Methods for Dynamic Mosaicking,”IEEE Transactions on Image Processing, vol. 10, No. 8, pp. 1239-1251, Aug. 2001.
R. S. Jasinschi, et al., “Content-based Video Sequence Representation,” inProceedings of IEEE International Cofnerence on Image Processing, 1995, vol. 2, pp. 229-232.
T. Ebrahimi, et al., “Visual Data Compression for Multimedia Applications,”Proceedings of IEEE, vol. 86, No. 6, pp. 1109, 1125, Jun. 1998.
T. Chen, et al., “Coding of Subregions for content-based Scalable Video”,IEEE Trans. on Circuits and Systems for Video Technology, vol. 7, No. 1, pp. 256-260, Feb. 1997.
P. Campisi, et al., “A Perceptually Lossless, Model-based, Texture Compression Technique,”IEEE Transactions on Image Processing, vol. 9 No. 8, pp. 1325-1336, Aug. 2000.
P. P. Raghu, et al., “Segmentation of Gabor-filtered Textures Using Deterministic Relaxation,”IEEE Trans. on Image Processing, vol. 5, No. 12, pp. 1625-1636, Dec. 1996.
Y. Chen, “Novel Techniques for Image Texture Classification,”Ph.D. thesis, Dept. of Electronics and Computer Science, Faculty of Engineering and Applied Science, University of Southampton, UK, 1995.
R. M. Haralick, et al., “Textural Features for Image Classification,”IEEE Trans. on Systems, Man and Cybernetics, vol. SMC-3, No. 6, pp. 610-621, Nov. 1973.
A. K. Jain, et al., “Learning Texture Discrimination Masks,”IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 18, No. 2, pp. 195-205, Feb. 1996.
W. Y. Ma, et al., “Texture Features and Learning Similarity,” inProceedings of the IEEE Int. Conference on Computer Vision and Pattern Recognition, San Francisco, CA, 1996.
T. Hall, et al., “Bispectral Analysis and Model Validation of Texture Images,”IEEE Transactions on Image Processing, vol. 4, No. 7, pp. 996-1009, Jul. 1995.
M. Unser, “Texture Classification and Segmentation Using Wavelet Frames,”IEEE Transactions on Image Processing, vol. 4, No. 11, pp. 1549-1560, Nov. 1995.
J. Mao, et al., Texture Classification and Segmentation Using Multiresolution Simultaneous Autoregressive Models,Pattern Recognition, vol. 25, No. 2, pp. 173-188, 1992.
A. C. Bovik, et al., “Multichannel Texture Analysis Using localized Spatial Filters,”IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, pp. 55-73, 190.
A. K. Jain, et al., “Unsupervised Texture Segmentation Using Gabor Filters,”Pattern Recognition, vol. 124, pp. 1167-1186, 1991.
B. S. Manjunath, et al., “Texture Features for Browsing and Retrieval of Image Data,”IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, pp. 837-842.
A. Jain, et al., “A Multiscale Representation Including Opponent Color Features for Texture Recognition,”IEEE Transactions on Image Processing, pp. 124-128, Jan. 1998.
D. J. Heeger, et al., “Pyramid-based Texture Analysis/Synthesis,” inProceedings of SIGGRAPH'95, 1995.
J. S. Debonet, “Multiresolution Sampling Procedure for Analysis and Synthesis of Texture Images,” inProceedings of SIGGRAPH'97, 1997.
A. A. Efros, et al., “Texture Synthesis by Non-parametric Sampling,” inProceedings of IEEE International Conference on Computer Vision, Corfu, Greece, 1999.
J. Portilla, et al., “A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients,”International Journal of Computer Vision, vol. 40, No. 1, pp. 49-71, 2000.
Y. Xu, et al., “Chaos Mosaic: Fast and Memory Efficient Texture Synthesis,”Technical Report MSR-TR-2000-32, Microsoft Research, USA, Apr. 2000.
Z. Bar-Joseph, et al., “Texture Mixing and Texture Movie Synthesis Using Statistical Learning,”IEEE Transactions on Visualization and Computer Graphic, vol. 7, No. 2, pp. 120-135, Apr.-Jun. 2001.
H. Greenspan, et al., “Rotation Invariant Texture Recognition Using a Steerable Pyramid,” inProceedings of IEEE International Conference on Pattern Recognition: Computer Vision and Image Processing, 1994, vol. 2, pp. 162-167.
H. Greenspan, et al., “Overcomplete Steerable Pyramid Filters and Rotation Invariance,” inProceedings of IEEE International Conference on Computer vision and Pattern Recognition, 1994, pp. 222-228.
R. Manduchi, et al., “Pyramidal Implementation of Deformable Kernels,” inProceedings of IEEE International Conference on Image Processing, 1995, vol. 1, pp. 378-381.
W. T. Freeman, et al., “The design and Use of Steera

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

System and method for encoding and decoding using texture... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with System and method for encoding and decoding using texture..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for encoding and decoding using texture... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4117053

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