TDMD：用于动态颜色网格主观和客观质量探索的数据库

摘要

动态彩色网格（DCM）被广泛应用于各种应用程序；然而，这些网格可能会经历不同的处理过程，如压缩或传输，这可能会扭曲它们并降低它们的质量。为了促进DCM的客观度量标准的发展，并研究典型失真对其感知的影响，我们创建了腾讯-动态彩色网格数据库（TDMD），其中包含八个参考DCM对象和六种典型失真。利用从DCM衍生的处理视频序列（PVS），我们进行了大规模主观实验，得出了303个失真DCM样本的平均意见分数，使TDMD成为我们所知最大的可用DCM数据库。该数据库使我们能够研究不同类型失真对人类感知的影响，并为DCM压缩和相关任务提供建议。此外，我们在TDMD上评估了三种最先进的客观度量标准，包括基于图像、基于点和基于视频的度量标准。我们的实验结果突出了每种度量标准的优势和劣势，并为在实际DCM应用中选择度量标准提供建议。TDMD将在以下位置公开提供：https://multimedia.tencent.com/resources/tdmd。

English

Dynamic colored meshes (DCM) are widely used in various applications; however, these meshes may undergo different processes, such as compression or transmission, which can distort them and degrade their quality. To facilitate the development of objective metrics for DCMs and study the influence of typical distortions on their perception, we create the Tencent - dynamic colored mesh database (TDMD) containing eight reference DCM objects with six typical distortions. Using processed video sequences (PVS) derived from the DCM, we have conducted a large-scale subjective experiment that resulted in 303 distorted DCM samples with mean opinion scores, making the TDMD the largest available DCM database to our knowledge. This database enabled us to study the impact of different types of distortion on human perception and offer recommendations for DCM compression and related tasks. Additionally, we have evaluated three types of state-of-the-art objective metrics on the TDMD, including image-based, point-based, and video-based metrics, on the TDMD. Our experimental results highlight the strengths and weaknesses of each metric, and we provide suggestions about the selection of metrics in practical DCM applications. The TDMD will be made publicly available at the following location: https://multimedia.tencent.com/resources/tdmd.

TDMD：用于动态颜色网格主观和客观质量探索的数据库

TDMD: A Database for Dynamic Color Mesh Subjective and Objective Quality Explorations

摘要

Support