G. Cheung and A. Zakhor, "Joint Source/Channel Coding of Scalable Video over Noisy Channels," in Proc. 1996 Int. Conf. Image Process. (ICIP), (Lausanne, Switzerland), Sept. 1996.  Home/Search   Document Details and Download   Summary   Related Articles   Check

.... perfect reconstruction at the decoding end, if the amount of data lost is within the limit that the error control coding scheme can withstand [59, 60] In addition unequal error protection can be provided by varying the number of bits used according to the priority of the data being protected [2, 3, 61, 62, 63, 64, 65]. Although passive concealment does not result in perfect reconstruction of the lost data, it is necessary in many applications where error control coding cannot be used due to compliance with video transmission standards or when active concealment fails. A general overview with an extensive ....

G. Cheung and A. Zakhor, "Joint source/channel coding of scalable video over noisy channels," Proceedings of the International Conference on Image Processing, vol. III, September 16--19 1996, Lausanne, Switzerland, pp. 767--770. -

....source and channel code rates, one can obtain most of the gains of joint source channel coding. Although progressive video transmission over noisy channels and heterogeneous networks has widespread applications, to our best knowledge, there are only a few published results in this area (e.g. [12]) In this paper, we extend Sherwood and Zeger s work from images to video with a hybrid FEC ARQ scheme using a RCPC code [6] combined with an ARQ strategy to protect the 3 D SPIHT bit stream from being corrupted by channel errors [13] We assume that a noiseless return channel with narrow ....

G. Cheung and A. Zakhor, "Joint source/channel coding of scalable video over noisy channels," Proc. ICIP'96, Lausanne, Switzerland, September 1996.

.... joint source channel decoding approach in the form of MAP decoding for exploiting residual redundancy in images transmitted over channels with memory has been recently addressed in [3] More recently, we have become aware of an approach towards joint source channel subband coding of scalable video [4] that is similar in spirit to the work presented in this paper. Ruf and Modestino [5] use bit sensitivity analysis to compute operational ratedistortion curves and also provide information theoretic bounds on performance. The problem of rate allocation i.e, quantizing subbands at different rates ....

G.Cheung and A.Zakhor, "Joint Source/Channel Coding of Scalable Video Over Noisy Channels," in Proc. Int. Conf. Image Proc.,Lausanne, Switzerland, vol. III, pp. 767-770, Sep. 1996.

....calculations to design UEP schemes using variable rate channel codes. Ruf and Modestino [7] use bit sensitivity analysis to optimally allocate source and channel coding rates for image transmission over noisy channels and also provide information theoretic bounds on performance. Cheung and Zakhor [8] consider three dimensional subband coding using multi rate quantization over noisy channels, also using a bit sensitivity approach. Another class of approaches is based on a joint source channel decoding approach. Burlina and Alajaji [9] use a joint source channel decoding approach in the form of ....

G. Cheung and A. Zakhor, "Joint source/channel coding of scalable video over noisy channels," in IEEE International Conf. on Image Processing, Lausanne, Switzerland, September 1996, vol. III, pp. 767--770.

.... each one be protected If n k denotes the number of source bits in subband k of the source coder described in section 2, and m i;k denotes the number of channel bits used to protect source bit i of subband k, then our optimization problem is that of minimizing the expected value of MSE given by [9]: E[MSE] K X k=1 E[MSEk ] 1) E[MSEk ] n k X i=1 ( g(m i;k ) 1 Gamma g(m i;k ) fk (i) i Y j=1 [1 Gamma g(m j;k ) n k Y j=1 [1 Gamma g(m j;k ) fk (nk 1) 2) subject to the constraints: K X k=1 nk Rs K X k=1 n k X i=1 m i;k Rc (3) In the above ....

G. Cheung, "Joint Source/Channel Coding of Scalable Video over Noisy Channels," Master's thesis, University of California at Berkeley, December 1995.

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G. Cheung and A. Zakhor, "Joint Source/Channel Coding of Scalable Video over Noisy Channels," in Proc. 1996 Int. Conf. Image Process. (ICIP), (Lausanne, Switzerland), Sept. 1996.

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