{"title":"A video transmission system based on human visual model","authors":"Y. Jiang, J. Gu, J. Baras","doi":"10.1109/VETECF.1999.798453","DOIUrl":null,"url":null,"abstract":"This paper presents a joint source-channel coding scheme of digital video broadcasting over a satellite channel. The video compression is based on the human visual model. The perceptual distortion model, the just-noticeable-distortion (JND), is applied to improve the subjective quality of compressed videos. The 3-D wavelet decomposition can remove spatial and temporal redundancy and provide scalability of the video quality. In order to conceal the errors which occurred under bad channel conditions, a novel slicing method and a joint source channel coding scenario that combines rate compatible punctured convolutional (RCPC) codes with cyclic redundancy check (CRC) and utilizes the distortion information to allocate convolutional coding rates are presented. A new performance index based on the JND is proposed and used to evaluate the overall performance at different signal-to-noise ratios (SNR). Our system uses the OQPSK modulation scheme.","PeriodicalId":355729,"journal":{"name":"Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VETECF.1999.798453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a joint source-channel coding scheme of digital video broadcasting over a satellite channel. The video compression is based on the human visual model. The perceptual distortion model, the just-noticeable-distortion (JND), is applied to improve the subjective quality of compressed videos. The 3-D wavelet decomposition can remove spatial and temporal redundancy and provide scalability of the video quality. In order to conceal the errors which occurred under bad channel conditions, a novel slicing method and a joint source channel coding scenario that combines rate compatible punctured convolutional (RCPC) codes with cyclic redundancy check (CRC) and utilizes the distortion information to allocate convolutional coding rates are presented. A new performance index based on the JND is proposed and used to evaluate the overall performance at different signal-to-noise ratios (SNR). Our system uses the OQPSK modulation scheme.
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