首页> 外文会议>IEEE International Conference on Multimedia and Expo Workshops >A low-complexity hardware-oriented mode decision scheme based on rate-distoration estimation
【24h】

A low-complexity hardware-oriented mode decision scheme based on rate-distoration estimation

机译:基于速率失真估计的低复杂度面向硬件的模式决策方案

获取原文

摘要

Video compression plays an important role in mobile applications, because more and more people use video to communicate with each other (like video call etc). However, the resources (energy, memory etc.) on mobile devices are limited, thus how to achieve a high coding performance in these devices becomes a big challenge. The recent standards such as H.264, HEVC and audio video coding standard (AVS) employ Rate distortion optimization (RDO) to select the best coding modes, however it results in extremely high computational complexity. This work presents a hardware friendly mode decision (MD) scheme. First, hardware-oriented RDcost estimation method is proposed by using least squares technique to reduce computational burden of RDO-based MD. Second, reconstructed-original (REC-ORG) united intra prediction scheme is presented to break the data dependency, while maintaining high coding performance. Third, highly efficient MD pipeline architecture is put forward to enhance MD processing capacity. The coding efficiency of our adopted MD scheme far outperforms (0.402 dB PSNR gain in average) the traditional SAD methods and the throughput of our designed pipeline is increased by 29%, 23% and 23% for I, P and B frames, respectively, compared with the existed RDO-based architecture.
机译:视频压缩在移动应用程序中起着重要的作用,因为越来越多的人使用视频进行相互通信(例如视频通话等)。然而,移动设备上的资源(能量,存储器等)是有限的,因此如何在这些设备中实现高编码性能成为一个巨大的挑战。诸如H.264,HEVC和音频视频编码标准(AVS)之类的最新标准采用速率失真优化(RDO)来选择最佳编码模式,但是这导致了极高的计算复杂性。这项工作提出了一种硬件友好模式决定(MD)方案。首先,通过最小二乘技术提出了一种面向硬件的RD成本估计方法,以减少基于RDO的MD的计算负担。其次,提出了一种重构原始(REC-ORG)联合帧内预测方案,以打破数据依赖性,同时保持较高的编码性能。第三,提出了高效的MD流水线架构,以增强MD处理能力。我们采用的MD方案的编码效率远胜过传统的SAD方法(平均PSNR增益为0.402 dB PSNR),我们设计的流水线的I,P和B帧的吞吐量分别提高了29%,23%和23%,与现有的基于RDO的体系结构相比。

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