A Video Transmission System Based on Human Visual Model for Satellite Channel
Baras, John S.
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This paper presents a practical architecture for joint source-channel coding of human visual model-based video transmission over satellite channel. Perceptual distortion model just-noticeable-distortion (JND) is applied to improve the subjective quality of compressed videos. 3-D wavelet decomposition can remove spatial and temporal redundancy and provide scalability of video quality.<p>In order to conceal errors occurring under bad channel conditions, a novel slicing method and a joint source channel coding scenario that combines RCPC with CRC and utilizes the distortion information to allocate convolutional coding rates are proposed. A new performance index based on JND is proposed and used to evaluate the overall performance at different signal-to-noise ratios (SNR). Our system uses OQPSK modulation scheme.<P><P><I> This paper has been submitted to Globecomm99, Rio de Janeiro, Brazil, December 5-9, 1999.</I>