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An Adaptive Hybrid Mode Decision Scheme for H.264/AVC Video over Unreliable Packet Networks

机译:不可靠数据包网络的H.264 / AVC视频的自适应混合模式决策方案

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In this paper, a hybrid rate-distortion (RD)-based mode switching decision scheme is proposed for robust transmission of H.264/MPEG4-AVC video over unreliable networks. Similar to the recursive optimal pixel estimate (ROPE) algorithm, the proposed encoder recursively estimates the overall distortion of decoder frame reconstruction due to quantization, error propagation, and error concealment. The estimation is then used for switching between intra-coding and inter-coding modes per macro-block. Different from ROPE, our scheme assumes the worst case of the previous frame to make RD optimal mode switching decision for the current frame. To avoid the reduction of coding efficiency, the worst scenario is selectively applied according to the motion activity of the previous frame, which is measured by the potential concealment error. By adopting the notion of concealment candidate image (CCI), we successfully implement the Hybrid-ROPE (HROPE), which finds a good tradeoff between error resilience and coding efficiency. Thus, the HROPE algorithm yields consistent and significant gains over the competing methods. The experimental results under different simulation conditions show that our mode decision scheme has robust error resilient ability and good adaptability. With the advanced feature of H.264, flexible MB ordering (FMO), our scheme can be combined with more existing error concealment techniques. It also attributes to FMO that the ROPE-styled framework in our scheme provides the flexibility of the packet sizes in terms of the maximum transfer unit (MTU) size. Moreover, the hybrid mode decision scheme has low computational complexity and does not require a feedback channel.
机译:在本文中,混合速率 - 失真(RD)为基础的模式的切换判断方案提出了一种用于在不可靠网络H.264 / MPEG4-AVC视频的健壮传输。类似于递归最优像素估计(ROPE)算法,所提出的编码器递归地估计解码器帧重构的总体失真,由于量化,误差传播,和错误隐藏。然后估计用于每个宏块帧间编码帧内编码和模式之间的切换。从ROPE不同的是,我们的方案假定前一帧的最坏的情况下,使当前帧RD优化模式的切换判断。为了避免编码效率的降低,最坏的情况下,根据上一帧,其由潜在隐藏错误测量的运动活动性选择性地施加。通过采用隐藏候选图像(CCI)的概念,我们成功地实现了混合动力绳(HROPE),其中发现错误弹性和编码效率之间的良好平衡。因此,HROPE算法产生了竞争的方法在一致和显著的收益。不同的模拟条件下的实验结果表明,该模式判决方案具有强大的抗误码能力和良好的适应性。随着H.264的高级功能,灵活MB排序(FMO),我们的方案可以与多个现有的错误隐藏技术相结合。它还属性FMO,在我们的方案中的ROPE风格框架提供了分组大小中的最大传输单元(MTU)尺寸方面的灵活性。此外,混合动力模式判决方案具有低的计算复杂度,并且不需要反馈信道。

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