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dc.contributor.authorChen, Yen-Yu
dc.contributor.authorChang, Ying-Wen
dc.date.accessioned2009-06-02T08:43:03Z
dc.date.accessioned2020-07-05T06:33:22Z-
dc.date.available2009-06-02T08:43:03Z
dc.date.available2020-07-05T06:33:22Z-
dc.date.issued2006-05-29T03:10:08Z
dc.date.submitted2003-12-18
dc.identifier.urihttp://dspace.fcu.edu.tw/handle/2376/1895-
dc.description.abstractScalable video coding methods and flexible streaming approaches are required for adapting changing network conditions in real time. This work presents scalable video coding based on a wavelet scheme. With respect to encoding, a scalable video encoder encodes predictive residual coefficients into several layers of a bit-stream. The bit-stream of the enhancement layer is truncated at various bit-rates, according to the bandwidth of the network. The residual image is reordered to form wavelet blocks. Wavelet blocks are classified into three types, and the most significant coefficients in each type of block are preserved. After the coefficients are preserved, significant coefficients are encoded using the concept of the significant link. With respect to decoding, the bit-stream of the enhancement layer is combined with the bit-stream of the base layer to reconstruct a better quality video. Simulation shows that the proposed method outperforms MPEG-4 FGS by around 0.5 dB in terms of PSNR.
dc.description.sponsorship逢甲大學,台中市
dc.format.extent7P.
dc.format.extent98901 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries中華民國92年全國計算機會議
dc.subjectscalable video coding
dc.subjectMPEG4
dc.subjectFGS
dc.subject.other電子學習和數位內容
dc.titleSNR Scalability Based on Wavelet
分類:2003年 NCS 全國計算機會議

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