Receiver-based rate-distortion optimized interactive streaming for scalable bitstreams of light fields

被引:1
|
作者
Chang, CL [1 ]
Girod, B [1 ]
机构
[1] Stanford Univ, Dept Elect Engn, Informat Syst Lab, Stanford, CA 94305 USA
关键词
D O I
10.1109/ICME.2004.1394561
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A receiver-based rate-distortion optimized framework to interactively stream scalable bitstreams of light fields is proposed. Based on the desired viewpoints, the predicted future buffer state, the network characteristics, and the target transmission rate, the receiver customizes the data request in order to minimize the distortion in the frames to be rendered. Experimental results show that the proposed framework improves the rendering quality by 1.0 similar to 2.8 dB over a heuristic scheme at the same rate. Correspondingly, to achieve the same rendering quality the proposed framework reduces 25% similar to 35% of the rate over the heuristic scheme.
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页码:1623 / 1626
页数:4
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