A Video Transmission System Based on Human Visual Model for Satellite Channel

This paper presents a practical architecture for joint source-channel coding of human visual model based video transmission over satellite channel. Perceptual distortion model justnoticeable-distortion (JND) is applied to improve the subjective quality of compressed videos. 3D wavelet decomposition can remove spatial and temporal redundancy and provide scalability of video quality. In order to conceal the errors occurred 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. Designated Symposia: Advanced Signal Processing for Communications Key Topics: Video Processing in Multimedia Communication A Video Transmission System Based on Human Visual Model for Satellite Channel Junfeng Gu *, Yimin Jiang +, John S. Baras * * Institute for Systems Research, University of Maryland, College Park, MD 20742, USA + Hughes Network Systems Inc., 11717 Exploration Lane, Germantown, MD 20876, USA Tel: +1-301-601-6494, Fax: +1-301-428-7177, Email: [email protected] Abstract: This paper presents a practical architecture for joint source-channel coding of human visual model based video transmission over satellite channel. Perceptual distortion model justnoticeable-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. In order to conceal the errors occurred 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. This paper presents a practical architecture for joint source-channel coding of human visual model based video transmission over satellite channel. Perceptual distortion model justnoticeable-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. In order to conceal the errors occurred 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.