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Asymmetrically Compressed Stereoscopic 3D Videos: Quality Assessment and Rate-Distortion Performance Evaluation

机译:非对称压缩立体3D视频:质量评估和速率失真性能评估

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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.
机译:立体3D视频的客观质量评估具有挑战性,但非常可取,尤其是在缺少有用质量模型的立体视频压缩和传输应用中,这可以指导选择混合分辨率编码,非对称量化的关键决策步骤,以及预处理和后处理方案。在这里,我们首先在两个数据库上进行主观质量评估实验,这些数据库包含从混合分辨率编码,非对称变换域量化编码,它们的组合以及后处理技术的多种选择中获得的各种不对称压缩的立体3D视频。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,并验证其潜在的编码增益。当使用两个视图的2D视频质量的直接平均来预测3D视频质量时,我们会观察到强烈的系统偏差。然后,我们应用双目竞争启发模型来解决预测偏差,从而显着改善了立体视频的完整参考质量预测模型。该模型使我们能够定量地预测不对称视频压缩的不同变化的编码增益,并为高效3D视频编码方案的发展提供新见解。

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