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首页> 外文期刊>Chinese Journal of Electronics >Error-Resilient Multi-view Video Coding Based on End-to-End Rate-Distortion Optimization
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Error-Resilient Multi-view Video Coding Based on End-to-End Rate-Distortion Optimization

机译：基于端到端速率失真优化的容错多视点视频编码

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摘要

Video transmission over packet-switched networks usually suffers from packet losses. The use of the prediction loop in video coding will cause these errors to propagate to subsequent frames, and thus significantly impacts on the received video quality. With the increasing number of cameras to capture the scene, robustly delivering multi-view video over error-prone channels becomes a rather challenging task. A rate-distortion optimization algorithm is proposed to improve error resilience for multi-view video transmission. A recursive model to estimate the end-to-end distortion is developed for multiview video coding, in which the distortion model explicitly takes into consideration the inherent error resilience property of the hierarchical bi-prediction structure. Based on the proposed distortion model, end-to-end rate-distortion optimization criterion is employed to perform coding mode switching. Extensive experimental results demonstrate significant performance gains can be achieved for multi-view video communication against transmission errors.
机译：在分组交换网络上的视频传输通常遭受分组丢失的困扰。在视频编码中使用预测循环将导致这些错误传播到后续帧，从而严重影响接收的视频质量。随着捕获场景的摄像机数量的增加，在易于出错的频道上可靠地提供多视图视频成为一项颇具挑战性的任务。提出了一种率失真优化算法，以提高多视点视频传输的容错能力。针对多视图视频编码，开发了一种估计端到端失真的递归模型，其中，失真模型明确考虑了分层双向预测结构的固有错误恢复能力。基于提出的失真模型，采用端到端速率失真优化准则来执行编码模式切换。大量的实验结果表明，针对多视角视频通信的传输错误可以显着提高性能。

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