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Subjective evaluation of Super Multi-View compressed contents on high-end light-field 3D displays

机译:对高端光场3D显示器上Super Multi-View压缩内容的主观评估

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Super Multi-View (SMV) video content is composed of tens or hundreds of views that provide a light-field representation of a scene. This representation allows a glass-free visualization and eliminates many causes of discomfort existing in current available 3D video technologies. Efficient video compression of SMV content is a key factor for enabling future 3D video services. This paper first compares several coding configurations for SMV content and several inter-view prediction structures are also tested and compared. The experiments mainly suggest that large differences in coding efficiency can be observed from one configuration to another. Several ratios for the number of coded and synthesized views are compared, both objectively and subjectively, It is reported that view synthesis significantly affects the coding scheme. The amount of views to skip highly depends on the sequence and on the quality of the associated depth maps. Reported ranges of bitrates required to obtain a good quality for the tested SMV content are realistic and coherent with future 4 K/8 K needs. The reliability of the PSNR metric for SIVIV content is also studied. Objective and subjective results show that PSNR is able to reflect increase or decrease in subjective quality even in the presence of synthesized views. However, depending on the ratio of coded and synthesized views, the order of magnitude of the effective quality variation is biased by PSNR. Results indicate that PSNR is less tolerant to view synthesis artifacts than human viewers. Finally, preliminary observations are initiated. First, the light-field conversion step does not seem to alter the objective results for compression. Secondly, the motion parallax does not seem to be impacted by specific compression artifacts. The perception of the motion parallax is only altered by variations of the typical compression artifacts along the viewing angle, in cases where the subjective image quality is already low. To the best of our knowledge, this paper is the first to carry out subjective experiments and to report results of SMV compression for light-field 3D displays. It provides first results showing that improvement of compression efficiency is required, as well as depth estimation and view synthesis algorithms improvement, but that the use of SMV appears realistic according to next generation compression technology requirements. (C) 2015 Elsevier B.V. All rights reserved.
机译:超级多视图(SMV)视频内容由数十个或数百个视图组成,这些视图提供了场景的光场表示。这种表示方式可以实现无玻璃可视化,并消除了当前可用3D视频技术中存在的许多不适感。 SMV内容的有效视频压缩是实现未来3D视频服务的关键因素。本文首先比较了SMV内容的几种编码配置,还测试并比较了几种视图间预测结构。实验主要表明,从一种配置到另一种配置,可以观察到编码效率的巨大差异。从客观和主观上比较了几种编码视图和合成视图的比率。据报道,视图合成对编码方案有很大影响。要跳过的视图数量在很大程度上取决于序列和关联的深度图的质量。为获得高质量的测试SMV内容而需要的报告比特率范围是现实的,并且与未来4 K / 8 K的需求保持一致。还研究了SIVIV内容的PSNR度量的可靠性。客观和主观结果表明,即使存在合成视图,PSNR也能够反映主观质量的增加或减少。但是,取决于编码视图和合成视图的比率,有效质量变化的数量级受PSNR的影响。结果表明,PSNR对观看合成伪像的容忍度不如人类观看者。最后,开始初步观察。首先,光场转换步骤似乎并没有改变压缩的客观结果。其次,运动视差似乎不受特定压缩伪像的影响。在主观图像质量已经很低的情况下,仅通过典型压缩伪像沿视角的变化才能更改运动视差的感知。就我们所知,本文是第一个进行主观实验并报告用于光场3D显示器的SMV压缩结果的文件。它提供的第一个结果表明,需要提高压缩效率,以及深度估计和视图合成算法的改进,但是根据下一代压缩技术的要求,SMV的使用似乎是现实的。 (C)2015 Elsevier B.V.保留所有权利。

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