Method for efficient encoding and decoding quantized...

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

Reexamination Certificate

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Reexamination Certificate

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08005141

ABSTRACT:
A computer-based method for encoding and decoding quantized sequences in Wyner-Ziv coding of video, bi-partite graph is used in an iterative process. The method takes as input to an encoder a sequence of quantized data from a finite alphabet, the sequence comprising a video frame. Another sequence of data, decoded from the prior video frame, is input to a decoder. A statistical model describing the statistical relationship between the quantized input sequence to the encoder and the input sequence to the decoder is input to both the encoder and the decoder. A minimum field size is estimated from the statistical model at the encoder and the decoder separately.

REFERENCES:
The International Search Report issued by the International Search Authority in relation to the related British application on Sep. 27, 2007, pp. 1 to 9 Westerlamen et al. “The Role of the Virtual Channel in Distributed Source Coding of Video”, Image Processing, 2005, ICIP 2005, IEEE International COnference on Genova, Italy, Sep. 11-14, 2005, pages.
Madhurima Potluri “Distributed Source Coding Using Non Binary LDPC”, Master thesis, Wisweswaraiah Technological University, India, Dec. 2005, pp. 1-49 Liveris etal. “A distributed Source Coding Technique for Correlated Images Using Turbo-codes”, IEEE Communications Letters, IEEE Service Ceter Piscataway, NJ, US, vol. 6, No. 9, Sep. 2002, pp. 379-381.
Rane et al. “Systematic Lossy Forward Error Protection for Error-Resilient Digital Video Broadcasting”, Proceedings of the SPIE, Bellingham, VA, US, vol. 5308, No. 1, Jan. 20, 2004, pp. 588-595 Avudainayagam et al., “A Hyper-Trellis Based Turbo Decoder for Wyner-Ziv Video Coding”, IEEE St.Loius, MO, USA Nov. 28-Dec. 2, 2005, IEEE, Nov. 28, 2005, pp. 1414, right-hand column, line 8-42.
Puri et al., A New Robust Video Coding Architecture Based on Distributed Compression Principles, Proceedings of the Annual Allerton Conference on Communication, Control and Computing, XX,XX, 2002, pp. 586-595 Quan Xu et al., “Layered Wyner-Ziv Coding”, Proceedings of the spie, VA, US, V.5308, n1, pp. 83-91.
Sandeep Pradhan et al. “Distributed Source Coding Using Syndromes (DISCUS): Design and Construction”, IEEE Transactions on Information Theory, IEEE Service Center, Piscataway , vol. 49, No. 3, Mar. 2003.

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