制定MPEG指标,用于客观和感知质量评估体积视频
Jean-Eudes Marvie1, Yana Nehmé2, Danillo Graziosi3
1InterDigital INC, Rennes, France.
概括
研究人员开发并验证了体积视频 (VVs) 的客观质量评估指标,以评估视觉质量和压缩文物. 这项工作提供了可靠的工具来评估对纹理网格的视觉影响.
科学领域:
- 计算机视觉 计算机视觉
- 多媒体信号处理处理.
- 视觉质量评估 视觉质量评估
背景情况:
- 客观和感知指标对于评估受压缩工件影响的体积视频 (VV) 的视觉质量至关重要.
- 当前的指标通常需要计算密集的过程,特别是对纹理网状表示.
研究的目的:
- 开发,基准和校准作为纹理网格表示的体积视频的客观质量评估指标.
- 通过提出一种高效的基于图像的方法来解决现有指标的计算挑战.
主要方法:
- 创建一个包含176个体积视频和5896个主观分数的数据集.
- 调整了两种最先进的点云指标,并开发了一种基于图像的新型指标.
- 在主观数据集上使用后勤回归和交叉验证对指标进行校准和评估.
主要成果:
- 为了进行体积视频质量评估,验证了两个客观指标.
- 以图像为基础的指标表明,与以点为基础的方法相比,计算时间减少了.
- 功能重要性分析确定了准确的质量预测的关键要素.
结论:
- 该研究成功校准和验证了用于体积视频质量评估的客观指标.
- 拟议的基于图像的度量为评估纹理网格提供了一个计算效率高的替代方案.
- 学习特征权重提供了对感知质量最关键因素的见解.
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