A Video Transmission System Based on a Human Visual Model

dc.contributor.advisorBaras, John S.en_US
dc.contributor.authorJiang, Yiminen_US
dc.contributor.authorGu, Junfengen_US
dc.contributor.authorBaras, John S.en_US
dc.contributor.departmentISRen_US
dc.contributor.departmentCSHCNen_US
dc.date.accessioned2007-05-23T10:08:38Z
dc.date.available2007-05-23T10:08:38Z
dc.date.issued1999en_US
dc.description.abstractThis 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>en_US
dc.format.extent238201 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/6097
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1999-81en_US
dc.relation.ispartofseriesCSHCN; TR 1999-40en_US
dc.subjectdigital video broadcastingen_US
dc.subjectjust-noticeable-distortionen_US
dc.subject3-D wavelet decompositionen_US
dc.subjectsignal-to-noise ratios (SNR)en_US
dc.subjectGlobal Communication Systemsen_US
dc.titleA Video Transmission System Based on a Human Visual Modelen_US
dc.typeTechnical Reporten_US

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