Consumer electronics have started to support 8K/4K/UHD/SUHD videos in order to improve the perceived QoE. It is beneficial to assess the consumer’s perceived quality degradation at the output prior to transmitting the video in an error prone channel, to include concealment support and error resilient features to minimize these artifacts. While existing error resilient schemes have attempted to include source coding error and the channel’s error propagation, they have ignored the error resilience and concealment accuracy at the decoder when encoding the video which allows for end-to-end error capture and mitigation to improve consumer QoE. This paper proposes a two-pass codec encoding scheme that determines the motion vectors and the coding modes which not only mitigate the source coding error and the channel error propagation, but also improve the accuracy of the error concealment operation. The proposed method incorporates an end-to-end probabilistic distortion model and utilizes the concealment error in the subsequently encoding frames while estimating the motion vectors for the current frame. The experiment achieves up to 1.47dB PSNR gain for diverse video contents in comparison to the state-of-the-art techniques at a 10% packet error rate. This objective gain was also supported by the user perceived QoE.

中文翻译：

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隐藏的支持和HEVC的错误恢复能力，以提高消费者的体验质量

消费类电子产品已开始支持8K / 4K / UHD / SUHD视频，以改善可感知的QoE。在易于出错的通道中传输视频之前，评估消费者在输出端的感知质量下降是有益的，包括隐藏支持和错误恢复功能，以最大程度地减少这些伪像。尽管现有的容错方案试图将源编码错误和信道的错误传播包括在内，但它们在对视频进行编码时却忽略了解码器处的容错能力和隐藏精度，从而实现了端到端的错误捕获和缓解，从而改善了消费者QoE。 。本文提出了一种两遍编解码器编码方案，该方案可确定运动矢量和编码模式，不仅减轻源编码误差和信道误差传播，而且还提高了错误隐藏操作的准确性。所提出的方法结合了端到端概率失真模型，并在随后的编码帧中利用隐藏误差，同时估计当前帧的运动矢量。与最新技术相比，该实验在10％的包错误率下，可为多种视频内容提供高达1.47dB的PSNR增益。用户感知的QoE也支持这一客观收益。与最新技术相比，各种视频内容的PSNR增益为47dB，误码率为10％。用户感知的QoE也支持这一客观收益。与最新技术相比，各种视频内容的PSNR增益为47dB，误码率为10％。用户感知的QoE也支持这一客观收益。