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首页> 外文期刊>IEEE transactions on multimedia >A Benchmark of DIBR Synthesized View Quality Assessment Metrics on a New Database for Immersive Media Applications
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A Benchmark of DIBR Synthesized View Quality Assessment Metrics on a New Database for Immersive Media Applications

机译：DIBR合成查看质量评估指标的基准，用于沉浸式媒体应用的新数据库

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摘要

Depth-image-based rendering (DIBR) is a fundamental technology in several 3-D-related applications, such as free viewpoint video, virtual reality, and augmented reality. However, new challenges have also been brought in assessing the quality of DIBR-synthesized views since this process induces some new types of distortions, which are inherently different from the distortion caused by video coding. In this paper, we present a new DIBR-synthesized image database with the associated subjective scores. We also test the performances of the state-of-the-art objective quality metrics on this database. This paper focuses on the distortions only induced by different DIBR synthesis methods. Seven state-of-the-art DIBR algorithms, including interview synthesis and single-view-based synthesis methods, are considered in this database. The quality of synthesized views was assessed subjectively by 41 observers and objectively using 14 state-of-the-art objective metrics. Subjective test results show that the interview synthesis methods, having more input information, significantly outperform the single-view-based ones. Correlation results between the tested objective metrics and the subjective scores on this database reveal that further studies are still needed for a better objective quality metric dedicated to the DIBR-synthesized views.
机译：基于深度图像的渲染（DIBR）是几个与三维相关的应用中的基本技术，例如自由视点视频，虚拟现实和增强现实。然而，由于该过程诱导了一些新类型的扭曲，因此还提出了新的挑战，从而评估了Dibr综合视图的质量，因为这一过程诱导了一些新类型的扭曲，这与视频编码引起的失真具有固有的不同。在本文中，我们提出了一种具有相关主观评分的新的DIBR合成的图像数据库。我们还测试了在此数据库上的最先进的客观质量指标的表演。本文重点介绍仅由不同DIBL合成方法引起的扭曲。在此数据库中考虑了七种最先进的DIBR算法，包括面试合成和基于单视图的合成方法。通过41个观察者和客观地使用14个最先进的客观指标来评估合成视图的质量。主观测试结果表明，采访合成方法具有更多输入信息，显着优于基于单视图的信息。在该数据库中测试的目标度量和主观评分之间的相关结果表明，仍然需要进一步的研究，以获得专用于DIBR合成视图的更好的客观质量指标。

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  • 来源
    《IEEE transactions on multimedia》 |2019年第5期|1235-1247|共13页
  • 作者

    Tian Shishun; Zhang Lu; Morin Luce; Deforges Olivier;

  • 作者单位

    Univ Rennes Natl Inst Appl Sci INSA Rennes F-35042 Rennes France|CNRS UMR 6164 Inst Elect & Telecommun Rennes F-35708 Rennes France;

    Univ Rennes Natl Inst Appl Sci INSA Rennes F-35042 Rennes France|CNRS UMR 6164 Inst Elect & Telecommun Rennes F-35708 Rennes France;

    Univ Rennes Natl Inst Appl Sci INSA Rennes F-35042 Rennes France|CNRS UMR 6164 Inst Elect & Telecommun Rennes F-35708 Rennes France;

    Univ Rennes Natl Inst Appl Sci INSA Rennes F-35042 Rennes France|CNRS UMR 6164 Inst Elect & Telecommun Rennes F-35708 Rennes France;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Depth-image-based-rendering (DIBR); FVV; view synthesis; QoE; quality assessment;

    机译：基于深度图像的渲染（DIBR）;FVV;查看合成;QoE;质量评估;

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