Combined source-channel coding for transmission of H.263 coded video with trellis-coded modulation over a slow-fading Rician channel

Performance of Multilayered Video Encoding and Delivery over Lossy Channels Using a Joint Source-Channel Coding Approach

“…In [8,9], it was shown that much of the computational complexity involved in solving this optimal rate allocation problem may be avoided through use of universal distortionrate characteristics, PSNR(R s , P b ), where R s represents the source rate allocation vector for the various layers and…”

“…Intuitively, we can expect that employing UEP for the base and enhancement layers will be more efficient in the use of the limited bitrate. Given a family of universal distortion-rate characteristics for a specified source coder, together with appropriate bounds on bit-error probability for a particular modulation/coding scheme as a function of channel parameters, the corresponding optimal distortion-rate characteristics for a video sequence can be determined [8,9] through the following procedure: For a specified channel signal-to-noise ratio, E b /N 0 , we can find the associated (P (1) b , P (2) b ) through the corresponding bit-error probability bounds for a selected modulation/coding scheme as discussed earlier. 4 Then, for each choice of source coding rate of interest, R s = (R (1) s , R (2) s ), use the resulting P b = (P (1) b , P (2) b ) to find the corresponding overall PSNR from the universal distortion-rate characteristics.…”

“…In [8,9], Bystrom and Modestino have demonstrated how this explosive computational burden can be avoided through the use of universal operational rate-distortion characteristics which describe the rate-distortion performance of a selected source coding scheme and includes the effects of channel errors as well as source coding losses. This approach was applied in [8,10], to develop a JSCC methodology for single-layer video transmission over wireless channels modeled as a slow-fading Rician channel.…”

“…This approach was applied in [8,10], to develop a JSCC methodology for single-layer video transmission over wireless channels modeled as a slow-fading Rician channel.…”

“…However, need exists for quantitative assessment of the attainable performance gains by using multilayered schemes under the context of JSCC. In this work, we extend the JSCC approach described in [8,9] for single-layer systems to multilayered encoding and delivery schemes over an additive white Gaussian noise (AWGN) channel. Results are presented for a multilayered H.263+ source encoder which is used in conjunction with binary ratecompatible punctured convolutional (RCPC) codes employing BPSK modulation for unequal error protection.…”