A Video Transmission System Based on Human Visual Model for Satellite Channel
| dc.contributor.author | Gu, Junfeng | en_US |
| dc.contributor.author | Jiang, Yimin | en_US |
| dc.contributor.author | Baras, John S. | en_US |
| dc.contributor.department | ISR | en_US |
| dc.contributor.department | CSHCN | en_US |
| dc.date.accessioned | 2007-05-23T10:08:08Z | |
| dc.date.available | 2007-05-23T10:08:08Z | |
| dc.date.issued | 1999 | en_US |
| dc.description.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 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> | en_US |
| dc.format.extent | 123998 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1903/6070 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | ISR; TR 1999-23 | en_US |
| dc.relation.ispartofseries | CSHCN; TR 1999-13 | en_US |
| dc.subject | Video Processing in Multimedia Communications | en_US |
| dc.subject | Intelligent Signal Processing and Communications Systems | en_US |
| dc.title | A Video Transmission System Based on Human Visual Model for Satellite Channel | en_US |
| dc.type | Technical Report | en_US |
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