TDMD：用於動態彩色網格主觀和客觀品質探索的資料庫

摘要

動態彩色網格（DCM）被廣泛應用於各種應用中；然而，這些網格可能會經歷不同的處理過程，如壓縮或傳輸，這可能會扭曲它們並降低它們的質量。為了促進針對DCM的客觀評估指標的發展，並研究典型失真對其知覺的影響，我們創建了騰訊 - 動態彩色網格數據庫（TDMD），其中包含八個參考DCM對象和六種典型失真。利用從DCM衍生的處理過的視頻序列（PVS），我們進行了一項大規模主觀實驗，結果產生了303個失真的DCM樣本，並附有平均意見分數，使TDMD成為我們所知最大的可用DCM數據庫。該數據庫使我們能夠研究不同類型失真對人類知覺的影響，並提供有關DCM壓縮和相關任務的建議。此外，我們對TDMD上的三種最先進的客觀評估指標進行了評估，包括基於圖像、基於點和基於視頻的指標。我們的實驗結果突顯了每個指標的優勢和劣勢，並就在實際DCM應用中選擇指標提供了建議。TDMD將在以下位置公開提供：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：用於動態彩色網格主觀和客觀品質探索的資料庫

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

摘要

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