异构网络引起的视频传输失真是影响视频终端感知质量的重要因素,通常只能在解码端进行评估和补偿.因此在编码端建立一个面向内容的立体视频传输失真模型,考虑错误隐藏和错误扩散两种失真,通过近似估计视频中各帧对终端质量的贡献度,从而实现每帧重要性的区分.新模型综合考虑了视频帧编码位置以及表征内容的编码模式、运动矢量、视差矢量等关键信息,可以作为视频在异构网络中传输策略的重要依据.
The video transmission distortion caused in the heterogeneous network video has an important impact on the quality of the terminal, which is usually evaluated and compensated only at the decoder side. In terms of the content, this thesis proposes a stereoscopic video transmission distortion model at the encoder with consideration of error concealment and error propagation distortion. The proposed approach can estimate the contribution of each frame to the video quality of the terminal by approximately distinguishing the importance of every frame, the video encoding position, encoding mode, motion vector, disparity vector, and other factors that can represent content in the model.