IEEE Trans Image Process. 2017 Mar;26(3):1330-1343. doi: 10.1109/TIP.2017.2651387. Epub 2017 Jan 11.
Objective quality assessment of stereoscopic 3D video is challenging but highly desirable, especially in the application of stereoscopic video compression and transmission, where useful quality models are missing, that can guide the critical decision making steps in the selection of mixed-resolution coding, asymmetric quantization, and pre- and post-processing schemes. Here we first carry out subjective quality assessment experiments on two databases that contain various asymmetrically compressed stereoscopic 3D videos obtained from mixed-resolution coding, asymmetric transform-domain quantization coding, their combinations, and the multiple choices of postprocessing techniques. We compare these asymmetric stereoscopic video coding schemes with symmetric coding methods and verify their potential coding gains. We observe a strong systematic bias when using direct averaging of 2D video quality of both views to predict 3D video quality. We then apply a binocular rivalry inspired model to account for the prediction bias, leading to a significantly improved full reference quality prediction model of stereoscopic videos. The model allows us to quantitatively predict the coding gain of different variations of asymmetric video compression, and provides new insight on the development of high efficiency 3D video coding schemes.
立体 3D 视频的客观质量评估具有挑战性，但非常有必要，特别是在立体视频压缩和传输的应用中，目前缺少有用的质量模型，这些模型可以指导混合分辨率编码、非对称量化以及预处理和后处理方案选择中的关键决策步骤。在这里，我们首先在包含各种通过混合分辨率编码、非对称变换域量化编码、它们的组合以及多种后处理技术获得的立体 3D 视频的两个数据库上进行主观质量评估实验。我们将这些非对称立体视频编码方案与对称编码方法进行比较，并验证它们的潜在编码增益。我们观察到使用两种视图的 2D 视频质量的直接平均来预测 3D 视频质量时存在很强的系统偏差。然后，我们应用基于双眼竞争的模型来解释预测偏差，从而得到一个显著改进的立体视频全参考质量预测模型。该模型允许我们定量预测不同非对称视频压缩变体的编码增益，并为高效 3D 视频编码方案的发展提供新的见解。
