Rate-Distortion Optimized Frame Dropping Based on Dynamic Frame Concealment

Jinfeng Zhang, J. Niu, Rui He, Jianping Hu
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Abstract

In most existing rate-distortion optimized frame dropping schemes, the concealment dependencies among frames are presumed, which artificially prioritizes frames with a fixed pattern. However, a fixed frame concealment pattern cannot always meet the actual priorities among frames. In this paper, we propose a novel rate-distortion optimized video frame dropping scheme, where the frame concealment pattern is dynamically determined according to the side information sent along with video data. The output of the proposed frame dropping scheme contains not only an optimal frame dropping pattern, but also a frame concealment pattern. Simulation results show that the quality of the reconstructed video in the receiver is greatly improved by the frame concealment pattern for the dropped frames, at the cost of a little overhead in side information.
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基于动态帧隐藏的率失真优化丢帧
在大多数现有的率失真优化丢帧方案中,假定帧之间的隐藏依赖关系,从而人为地对具有固定模式的帧进行优先级排序。然而,固定的帧隐藏模式并不能满足帧之间的实际优先级。在本文中,我们提出了一种新的优化率失真的视频丢帧方案,该方案根据随视频数据发送的侧信息动态确定帧隐藏模式。该丢帧方案的输出不仅包含最优丢帧模式,还包含帧隐藏模式。仿真结果表明,对丢失的帧采用帧隐藏模式,以减少侧信息开销为代价,极大地提高了接收端重构视频的质量。
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