首页> 外文期刊>Journal of Zhejiang University. Science >Content-adaptive robust error concealment for packet-lossy H.264 video streaming
【24h】

Content-adaptive robust error concealment for packet-lossy H.264 video streaming

机译:数据包有损H.264视频流的内容自适应鲁棒错误隐藏

获取原文
获取原文并翻译 | 示例
       

摘要

In this paper, we present a spatio-temporal post-processing error concealment (EC) algorithm designed initially for a H.264 video-streaming scheme over packet-lossy networks. It aims at optimizing the subjective quality of the restored video under the constraints of low delay and computational complexity, which are critical to real-time applications and portable devices having limited resources. Specifically, it takes into consideration the physical property of motion field in order to achieve more meaningful perceptual video quality, in addition to the improved objective PSNR. Further, a simple bilinear spatial interpolation approach is combined with the improved boundary-match (B-M) based temporal EC approach according to texture and motion activity analysis. Finally, we propose a low complexity temporal EC method based on motion vector interpolation as a replacement of the B-M based approach in the scheme under low-computation requirement, or as a complement to further improve the scheme's performance in applications having enough computation resources. Extensive experiments demonstrated that the proposal features not only better reconstruction, objectively and subjectively, than JM benchmark, but also robustness to different video sequences.
机译:在本文中,我们提出了一种时空后处理错误隐藏(EC)算法,该算法最初是为数据包有损网络上的H.264视频流方案设计的。其目的在于在低延迟和计算复杂度的约束下优化恢复的视频的主观质量,这对于实时应用和资源有限的便携式设备至关重要。具体而言,除了改善的目标PSNR之外,还考虑了运动场的物理属性,以实现更有意义的感知视频质量。此外,根据纹理和运动活动分析,将简单的双线性空间插值方法与基于改进的边界匹配(B-M)的时间EC方法相结合。最后,我们提出了一种基于运动矢量插值的低复杂度时域EC方法,作为低计算量要求下该方案中基于B-M的方法的替代,或作为在具有足够计算资源的应用中进一步提高该方案性能的补充。大量实验表明,该提案不仅在客观上和主观上都比JM基准具有更好的重建功能,而且还具有针对不同视频序列的鲁棒性。

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