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Error Concealment Method Based on Motion Vector Prediction Using Particle Filters

机译:基于运动矢量预测的粒子滤波错误掩盖方法

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摘要

Video transmitted over unreliable environment, such as wireless channel or in generally any network with unreliable transport protocol, is facing the losses of video packets due to network congestion and different kind of noises. The problem is becoming more important using highly effective video codecs. Visual quality degradation could propagate into subsequent frames due to redundancy elimination in order to obtain high compression ratio. Since the video stream transmission in real time is limited by transmission channel delay, it is not possible to retransmit all faulty or lost packets. It is therefore inevitable to conceal these defects. To reduce the undesirable effects of information losses, the lost data is usually estimated from the received data, which is generally known as error concealment problem. This paper discusses packet loss modeling in order to simulate losses during video transmission, packet losses analysis and their impacts on the motion vectors losses.
机译:由于网络拥塞和不同类型的噪声,在不可靠的环境(例如无线通道)或通常在任何具有不可靠的传输协议的网络中传输的视频都面临着视频数据包的丢失。使用高效的视频编解码器,该问题变得越来越重要。由于冗余消除,视觉质量下降可能传播到后续帧中,以获得高压缩率。由于视频流的实时传输受到传输通道延迟的限制,因此不可能重新传输所有有故障或丢失的数据包。因此,不可避免地要掩盖这些缺陷。为了减少信息丢失的不良影响,通常从接收到的数据中估计丢失的数据,这通常被称为错误隐藏问题。本文讨论了丢包建模,以模拟视频传输期间的丢包,丢包分析及其对运动矢量丢包的影响。

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