编码端帧级立体视频传输失真模型

Frame-level Stereoscopic Video Transmission Distortion Model at Encoder

通过分析网络传输与立体视频失真的关系,结合立体视频时空相关性、网络性能和终端错误隐藏技术,以及递归思想提出了一种编码端的帧级立体视频传输失真模型,本模型可在编码端估计特定网络条件下的终端立体视频质量。针对不同运动程度和视差大小的立体视频序列,在不同网络环境下进行实验。当用MSE表征失真时,平均预测误差为4.16%;当用PSNR表征时,平均预测误差为0.93%,表明本模型可在编码端精确估计终端的立体视频传输失真。

Taking into account the relationship between network transmission and stereoscopic video, the temporal correlation and spatial correlation of stereo video sequences, channel parameters, as well as terminal error concealment technology,we put forward a frame-level stereoscopic video transmission distortion model at the encoder. We made experiment of stereoscopic video sequences with different motion intensity and disparity in different network conditions. When MSE represents transmission distortion, average distortion error is 4. 16%. When PSNR represents transmission distortion, average distortion error is 0. 93 %. The model can accurately estimate the transmission distortion of stereoscopic video at the encoder.