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A study of key-frame reference picture selection method for error resilient multiple video objects distribution

机译:误差弹性多视频对象分布键帧参考图像选择方法的研究

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With an object based video coding method, e.g. MPEG-4, a visual scene can be presented by composition of multiple video objects, and in distribution via network, multiple video object bitstreams are transmitted simultaneously. In transmission via erroneous network such as the Internet, error resilience without delay is necessary for composition of these objects keeping synchronization. This paper presents a novel error resilience method, KRPS (Keyframe Reference Picture Selection) for multiple video objects distribution. In this method, the distribution sever receives ACK signals from multiple clients, and dynamically controls reference picture. In order to recover from error state at all clients, the server selects a particular frame, keyframe, which has the capability of changing reference picture. From computer simulation, it is proved that KRPS can achieve high error resilience with keeping high coding efficiency.
机译:具有基于对象的视频编码方法,例如, MPEG-4,可以通过多视频对象的组成来呈现视觉场景,并且通过网络分布在分布中,同时传输多个视频对象比特流。通过诸如因特网的错误网络传输,对于保持同步的这些对象的组成是必要的,误差弹性是必要的。本文提出了一种新的误差弹性方法,用于多个视频对象分布的KRPS(关键帧参考图像选择)。在该方法中,分发服务器接收来自多个客户端的ACK信号,并动态控制参考图片。为了从所有客户端的错误状态恢复,服务器选择特定的帧,关键帧,其具有改变参考图片的能力。从计算机模拟中,证明KRP可以实现高误差弹性,保持高编码效率。

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