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Perceptual Quality Assessment On DIBR Synthesized Videos With Composite Distortions

机译:具有复合失真的DIBR合成视频的感知质量评估

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DIBR (depth-image-based rendering) synthesized videos has become increasingly popular recently in supporting 3D-TV, Free-viewpoint video (FVV) and interactive graphic applications. Due to the synthesis process, it contains composite distortions, i.e., DCT-like distortions plus geometric distortions. It has led to new challenges for subjective and objective video quality assessment (VQA) community, where such composite distortions have not been taken into consideration. In this work, we construct a new database composed of DIBR synthesized videos, the reference view video is compressed by H.264 and HEVC encoders, which is subsequently synthesized to the virtual view with different DIBR algorithms. We also propose a novel no-reference (NR) synthesized video quality metric with multi-modal feature pooling and evaluate it against representative full reference (FR) and NR objective VQA models on the proposed database. The database and the proposed metric will be made available to the public.
机译:DIBR(基于深度图像的渲染)合成视频最近在支持3D-TV,自由视点视频(FVV)和交互式图形应用程序中变得越来越流行。由于合成过程,它包含复合变形,即类似DCT的变形加上几何变形。它给主观和客观视频质量评估(VQA)社区带来了新的挑战,在这些领域中,没有考虑到这种复合失真。在这项工作中,我们构建了一个由DIBR合成视频组成的新数据库,参考视图视频由H.264和HEVC编码器压缩,然后使用不同的DIBR算法合成到虚拟视图。我们还提出了一种具有多模式特征池的新型无参考(NR)综合视频质量指标,并针对提出的数据库上的代表性全参考(FR)和NR客观VQA模型对其进行了评估。该数据库和建议的度量标准将对公众开放。

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