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Scalable Multiple Description Coding with Side Information Using Motion Interpolation
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AI
DOI：10.1109/TCE.2008.4711271.png)
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Abstract
En 中文
Problems with modern video delivery systems is that decoder fails to decode video when it is transmitted over error prone channels, due to varying characteristics of a wireless channel or congestion in wired networks. Thus introducing mismatch into the decoded video stream. Scalable video coding (SVC) encounters such a problem as the loss of a lower layer prevents all higher layers being decoded, even if the higher layers are correctly received. Multiple Description Coding (MDC) can help solve such a problem. We propose a Scalable MDC architecture that creates an Even and Odd streams with residual information regarding the other stream. Using such a method creates redundancies that can improve the decoded reconstruction of a frame however increasing the bit rate of a given stream. To solve this a Motion Interpolation technique is used to improve the construction of Side information thus reducing the bit I-ate but improving the frame qualify Experimental results show that Motion Interpolation scheme can improve the frame quality by 6dB over a Pixel based Interpolation scheme for a number of video sequences Experimental results also show that this method can give 40% saving in bit rate when compared to a Pixel based Interpolation. Using such a method makes the system a viable target for mobile communications.
Keywords:
Video coding
Motion Interpolation
MDC
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