Novel video coding methods for versatile video coding

Han, Heeji; Gwon, Daehyeok; Choe, Jaeryun; Choi, Haechul

doi:10.1504/ijcvr.2021.10040489

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) Bvi Codec Comparison Databases (Bvi-cc) [51] -1

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2022

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“…BVI-CC is a codec-comparison database that evaluated the HM [52], AV1 [4], and VTM [53] codecs under three test conditions. Of the three, we use two sub-databases in this work -CC-HD [51] and CC-HDDO [54], both of which contain nine 10-bit reference videos.…”

Section: ) Bvi Codec Comparison Databases (Bvi-cc) [51] -mentioning

confidence: 99%

Funque: Fusion of Unified Quality Evaluators

Venkataramanan

Stejerean

Bovik

2022

2022 IEEE International Conference on Image Processing (ICIP)

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Fusion-based quality assessment has emerged as a powerful method for developing high-performance quality models from quality models that individually achieve lower performances. A prominent example of such an algorithm is VMAF, which has been widely adopted as an industry standard for video quality prediction along with SSIM. In addition to advancing the state-of-the-art, it is imperative to alleviate the computational burden presented by the use of a heterogeneous set of quality models. In this paper, we unify "atom" quality models by computing them on a common transform domain that accounts for the Human Visual System, and we propose FUNQUE, a quality model that fuses unified quality evaluators. We demonstrate that in comparison to the stateof-the-art, FUNQUE offers significant improvements in both correlation against subjective scores and efficiency, due to computation sharing.

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Section: ) Bvi Codec Comparison Databases (Bvi-cc) [51] -mentioning

confidence: 99%