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Next Generation Network based Intermediate-view Reconstruction using Variable Block Matching Algorithm

机译:基于可变块匹配算法的下一代网络中间视图重构

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In this paper, next generation network (NGN) based intermediate-view reconstruction (IVR) using variable block matching algorithm (VBMA) is proposed. In the proposed system, the stereoscopic images are estimated by VBMA, and they are transmitted to receiver through dynamic bandwidth allocation (DFA), this scheme improves a priority-based access network converting it to a flow-based access network with a new access mechanism and scheduling algorithm, and then 16-view images are synthesized by the IVR. From some experimental results, it is found that the proposed system improves peak signal-to-noise ratio (PSNR) up to 4.86 dB. Also, network service provider can provide upper limits of transmission delays by the flow. The modeling and simulation results with mathematical analyses obtained by this scheme are also provided.
机译:本文提出了一种使用可变块匹配算法(VBMA)的基于下一代网络(NGN)的中间视图重构(IVR)。在提出的系统中,通过VBMA估计立体图像,然后通过动态带宽分配(DFA)将其传输到接收器,该方案改进了基于优先级的接入网络,并使用新的接入机制将其转换为基于流的接入网络和调度算法,然后由IVR合成16视角图像。从一些实验结果中,发现所提出的系统将峰值信噪比(PSNR)提高到4.86 dB。而且,网络服务提供商可以通过该流提供传输延迟的上限。还提供了通过该方案获得的带有数学分析的建模和仿真结果。

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