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