In this paper, we propose a new bit-rate transcoding method for MPEG video streams, which can utilize human visual system characteristics adequately.
提出了一种充分利用人类视觉系统特性的MPEG视频码流码率转换方法。
The experimental results show that, the scheme proposed in the paper can achieve high bit rate accuracy, which is an efficient bit rate transcoding scheme.
实验结果表明：本文提出的比特率转码方案具有较高的比特率转换精度，是一种高效的比特率转码方案。
Motion Vector Refinement: Bit rate adaptation transcoding adapt the network heterogeneity, which makes the reference frame changed. The motion estimation is needed.
运动矢量修正技术：码率调整型转码算法可以屏蔽网络的异构性，但导致参考帧数据发生变化，需要重新进行运动估计。
Motion Vector Refinement: Bit rate adaptation transcoding adapt the network heterogeneity, which makes the reference frame changed. The motion estimation is needed.
运动矢量修正技术：码率调整型转码算法可以屏蔽网络的异构性，但导致参考帧数据发生变化，需要重新进行运动估计。
应用推荐