首页> 外文期刊>Journal of network and computer applications >EAF: Energy-aware adaptive free viewpoint video wireless transmission
【24h】

EAF: Energy-aware adaptive free viewpoint video wireless transmission

机译:EAF:节能意识的自适应自由视点视频无线传输

获取原文
获取原文并翻译 | 示例

摘要

By transmitting views captured using two adjacent cameras in texture plus depth format, any middle view in between could be synthesized with depth image based rendering (DIBR) technique. This provides users with continuous viewing angles for selection and is a key technology for a number of emerging applications such as free viewpoint TV. How to deliver the free viewpoint video contents to clients is one fundamental problem for these applications and the challenges exist in the large bandwidth requirement and frequent change of network environments. Source encoding rates could be varied to fit different network conditions by changing frame rates, with extra battery life consumption due to skipped frames' interpolation before synthesizing the requested middle view. Note that battery development is lagging behind mobile devices' function and computation capability development. How to trade off the source encoding rate reduction and extra energy consumption has not been formally solved as far as we understand. In this paper, we proposed EAF: an energy-aware adaptive free viewpoint video wireless transmission system, where we jointly considered the source encoding rate reduction and extra energy consumption with network constraints. Simulation results showed that the proposed scheme advantages over competing schemes significantly in typical network scenarios. (C) 2014 Elsevier Ltd. All rights reserved.
机译:通过以纹理加深度格式传输使用两个相邻摄像机捕获的视图,可以使用基于深度图像的渲染(DIBR)技术合成之间的任何中间视图。这为用户提供了连续的选择视角,并且是许多新兴应用(例如自由视点电视)的一项关键技术。对于这些应用来说,如何向用户交付免费视点视频内容是一个基本问题,并且在带宽需求大和网络环境频繁变化方面存在挑战。可以通过更改帧速率来更改源编码速率以适应不同的网络条件,并且由于在合成请求的中间视图之前跳过了帧的插值,因此会额外消耗电池寿命。请注意,电池开发滞后于移动设备的功能和计算能力开发。据我们了解,如何权衡源编码速率的降低和额外的能量消耗尚未得到正式解决。在本文中,我们提出了EAF:一种能量感知的自适应自由视点视频无线传输系统,在该系统中,我们共同考虑了源编码速率降低和网络约束下的额外能耗。仿真结果表明,在典型的网络场景下,该方案明显优于竞争方案。 (C)2014 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号