Transmission of multi-viewvideo content is not practical in most mobile environments due to the limited bandwidth and processing power of mobile devices. To support such environments, one can limit the number of view...
详细信息
ISBN:
(纸本)9781612843490
Transmission of multi-viewvideo content is not practical in most mobile environments due to the limited bandwidth and processing power of mobile devices. To support such environments, one can limit the number of views that are being transmitted, known as scalable multi-view video coding (SMVC). In this paper, we propose a new view selection method for view scalability in multi-viewvideocoding in mobile environments, which uses inter and intraview dissimilarities to determine the most suitable views for the base layer corresponding to the prediction structure and user selected limited number of views. By selecting more correlated views for the base layer, the proposed method provides an improved performance, as confirmed by simulation results, even when all the enhancement layers are dropped due to network limitations.
We consider a client-driven selective streaming system for multi-viewvideo, which is supported by scalable multi-view video coding (SMVC). The system is used to reduce bit-rates for efficient transmission of multi-vi...
详细信息
We consider a client-driven selective streaming system for multi-viewvideo, which is supported by scalable multi-view video coding (SMVC). The system is used to reduce bit-rates for efficient transmission of multi-viewvideo. 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 find 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 mapping and the two-level hierarchical 64QAM in terms of achieving the target average PSNR performance at a low SNR environment. (C) 2016 Elsevier B.V. All rights reserved.
Delivery of 3D immersive entertainment to the home remains a highly challenging problem due to the large amount of data involved, and the need to support a wide variety of different displays. Support of such displays ...
详细信息
ISBN:
(纸本)9781424479948
Delivery of 3D immersive entertainment to the home remains a highly challenging problem due to the large amount of data involved, and the need to support a wide variety of different displays. Support of such displays may require different numbers of views, delivered over time varying networks. This requires a delivery scheme featuring scalable compression to adapt to varying network conditions, and error resiliency to overcome disturbing losses in the 3D perception. Audio and video attention models can be used in designing an optimal content-aware compression and transmission scheme, by prioritizing the most visually important areas of the video. This paper gives an overview of a content-aware, scalablemulti-view audiovisual entertainment delivery framework. Results are shown to evaluate the kinds of error robustness improvements that could be seen using such a system.
暂无评论