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Hierarchical modulation for client-driven selective streaming of multi-view video over AWGN channels.pdf
Signal Processing: Image Communication 47 (2016) 152–159
Contents lists available at ScienceDirect
Signal Processing: Image Communication
journal homepage: /locate/image
Hierarchical modulation for client-driven selective streaming of multi-view video over AWGN channels
Dongho You, Dong Ho Kim n
The Graduate School of NID Fusion Technology, Seoul National University of Science and Technology (SeoulTech), 232 Gongneung-ro, Nowon-gu, Seoul 01811, South Korea
article info
Article history: Received 10 December 2015 Received in revised form 14 April 2016 Accepted 6 June 2016 Available online 8 June 2016
Keywords: Hierarchical modulation Unequal error protection Client-driven selective streaming Multi-view video Scalable multi-view video coding
abstract
We consider a client-driven selective streaming system for multi-view video, which is supported by scalable multi-view video coding (SMVC). The system is used to reduce bit-rates for ef?cient transmission of multi-view video. The transmit source is partitioned into three layers: a base and two enhancement layers. The base layer contains all views encoded by MVC at a low-quality, while each enhancement layer contains high-quality part of the selected left and right views, respectively. The base layer is more important than the enhancement layers to create 3D perception, albeit of low-quality, and should be more protected than the enhancement layers. In this paper, two-level and three-level hierarchical 64QAM are used to provide unequal error protection (UEP) for the client-driven selective streaming system. First we ?nd the suitable hierarchical values, which is the ratio of the distances in hierarchical 64QAM, for the client-driven selective streaming system. Furthermore, we analyze numerically how the hierarchical 64QAM impacts peak signal-to-noise ratio (PSNR) performance of fast and slow-motion sequences. Simulation results show that the three-level hierarchical 64QAM outperforms both conventional 64QAM with Gray mappin
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