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Improvement of H.264 SVC by model-based adaptive resolution upconversion

机译:通过基于模型的自适应分辨率上转换对H.264 SVC进行改进

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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.
机译:作为最新的可伸缩视频编码标准,H.264 SVC扩展可以提供单个代码流,以服务于各种通信带宽和显示分辨率。但是,H.264 SVC的速率失真性能仍然劣于不可缩放的H.264 AVC。为了缩小H.264 SVC和H.264 AVC之间的性能差距,我们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。新算法将视频帧的上采样视为初始H.264 SVC下采样操作的反问题,并且通过最佳地反转下采样滤波器来显着提高当前H.264 SVC的性能。

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