TDMD: A Database for Dynamic Color Mesh Subjective and Objective Quality
  Explorations
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.
64cc80f9c176cd9dfa864500
Qi Yang
64cc80f9c176cd9dfa864501
Joel Jung
64cc80f9c176cd9dfa864502
Timon Deschamps
claimed_verified
2023-08-28T07:12:56.506Z
637bb14800e89f14802a39fc
/avatars/17d8022d0872bbb50a4219ecfa954a63.svg
Timon Deschamps
user
timondesch
64cc80f9c176cd9dfa864503
Xiaozhong Xu
64cc80f9c176cd9dfa864504
Shan Liu
TDMD: A Database for Dynamic Color Mesh Subjective and Objective Quality
  Explorations
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.
The Tencent-Dynamic Colored Mesh Database (TDMD) examines the impact of various distortions on DCM perception using objective metrics and subjective experiments.
dynamic colored meshes distortion subjective experiment mean opinion scores objective metrics image-based point-based video-based