基于模型的自适应分辨率上转换改进H.264 SVC

Xiaolin Wu, Mingkai Shao, Xiangjun Zhang
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引用次数: 8

摘要

H.264 SVC扩展作为目前最先进的可扩展视频编码标准,可以提供单一码流来服务于不同的通信带宽和显示分辨率。然而,H.264 SVC的率失真性能仍然不如不可扩展的H.264 AVC。为了缩小H.264 SVC和H.264 AVC之间的性能差距,提出了一种基于模型的自适应分辨率上转换算法,以提高H.264 SVC层间预测的精度。该算法将视频帧的上采样作为初始H.264 SVC下采样操作的逆问题,通过对下采样滤波器进行最优反转,显著提高了当前H.264 SVC的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improvement of H.264 SVC by model-based adaptive resolution upconversion
H.264 SVC extension, as the state of art scalable video coding standard, can offer a single code stream to serve diverse communication bandwidths and display resolutions. However, the rate-distortion performance of H.264 SVC is still inferior to the non-scalable H.264 AVC. To reduce the performance gap between H.264 SVC and H.264 AVC, we propose a model-based adaptive resolution upconversion algorithm to improve the precision of the H.264 SVC inter-layer prediction. The new algorithm treats the up-sampling of video frames as an inverse problem of initial H.264 SVC down-sampling operation, and it significantly improves the performance of current H.264 SVC by optimally reversing the down-sampling filter.
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