CCL-SVC:优化在计算能力有限的手持设备上播放视频的用户体验

Jingyuan Wang, Lifeng Sun, Bin Li, Meng Zhang, Shiqiang Yang
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引用次数: 1

摘要

本文提出了一种基于计算复杂度分层可扩展视频编码(CCLSVC)的新方案,以优化在计算能力有限的手持终端下播放视频的用户体验。为了解决不同手持设备之间计算能力的异质性,我们采用SVC的层次B参考结构将帧在服务器端划分为多个计算复杂性层(CC层)。手持客户端根据其计算能力简单地选择解码相应层中的帧,以最大化视频的PSNR。证明了最优CC层划分问题是一个有优先级约束的调度问题,是一个np完全问题。在此基础上,提出了一种快速贪婪算法来近似求解优化后的广播视频播放PSNR。仿真结果表明,该方法优于时间支持向量机和随机帧丢弃方法。
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CCL-SVC: Optimizing user experience of broadcasting video on computation capability limited handheld devices
In this paper, we propose a novel scheme using computing complexity layered scalable video coding (CCLSVC) to optimize the user experience of broadcasting video in the computing capability limited handheld terminals. To address the heterogeneity of computing capability among different handheld devices, we employ hierarchal B reference structure of SVC to divide the frames into multiple computing complexity layers (CC Layers) in server side. The handheld clients simply choose to decode the frames in their corresponding layers in terms of their computation capability to maximize the video PSNR. We have proved that the optimal CC Layers division problem is a precedence constrained scheduling problem, which is an NP-complete problem. And we further propose our fast greedy method to approximately get optimized broadcasting video playback PSNR. The simulation shows that our method is superior to temporal SVC and random frame discarding method.
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