A Video Transmission System Based on a Human Visual Model

Abstract

This paper presents a joint source-channel coding scheme of digital video broadcasting over satellite channels. The video compression is based on a human visual model. A perceptual distortion model, the just-noticeable-distortion (JND), is applied to improve the subjective quality of compressed videos. <p>3-D wavelet decomposition can remove spatial and temporal redundancy and provide scalability of video quality. In order to conceal the 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 presented. 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 the OQPSK modulation scheme.<p><i>VTC 1999</i>