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No-Reference Video Quality Assessment Model for Distortion Caused by Packet Loss in the Real-Time Mobile Video Services

机译:实时移动视频服务中因丢包造成失真的无参考视频质量评估模型

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Packet loss will make severe errors due to the corruption of related video data. For most video streams, because the predictive coding structures are employed, the transmission errors in one frame will not only cause decoding failure of itself at the receiver side, but also propagate to its subsequent frames along the motion prediction path, which will bring a significant degradation of end-to-end video quality. To quantify the effects of packet loss on video quality, a no-reference objective quality assessment model is presented in this paper. Considering the fact that the degradation of video quality significantly relies on the video content, the temporal complexity is estimated to reflect the varying characteristic of video content, using the macroblocks with different motion activities in each frame. Then, the quality of the frame affected by the reference frame loss, by error propagation, or by both of them is evaluated, respectively. Utilizing a two-level temporal pooling scheme, the video quality is finally obtained. Extensive experimental results show that the video quality estimated by the proposed method matches well with the subjective quality.
机译:由于相关视频数据的损坏,丢包将造成严重的错误。对于大多数视频流,由于采用了预测编码结构,一帧中的传输错误不仅会导致其自身在接收器侧的解码失败,而且还会沿运动预测路径传播到其后续帧,这将带来很大的影响。端到端视频质量下降。为了量化丢包对视频质量的影响,本文提出了一种无参考客观质量评估模型。考虑到视频质量的下降很大程度上取决于视频内容这一事实,使用在每个帧中具有不同运动活动的宏块,估计时间复杂度以反映视频内容的变化特性。然后,分别评估受参考帧丢失,错误传播或两者影响的帧的质量。利用两级时间池化方案,最终获得了视频质量。大量的实验结果表明,该方法估计的视频质量与主观质量非常匹配。

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