Quality-driven Variable Frame-Rate for Green Video Coding in Broadcast Applications
Glenn Herrou (IETR), Charles Bonnineau (TDF, IETR, IRT b-com), Wassim, Hamidouche (IETR, IRT b-com), Patrick Dumenil, Jerome Fournier (IRT b-com),, Luce Morin (IETR)

TL;DR
This paper introduces a variable frame-rate method for HFR video in broadcast applications, optimizing perceived quality while reducing bit-rate and complexity, thus facilitating HFR deployment.
Contribution
It proposes a novel VFR approach using machine learning classifiers to determine the minimal frame-rate needed for quality preservation in HFR videos.
Findings
VFR method effectively preserves perceived quality.
Significant bit-rate savings achieved.
Reduces encoder and decoder complexity.
Abstract
The Digital Video Broadcasting (DVB) has proposed to introduce the Ultra-High Definition services in three phases: UHD-1 phase 1, UHD-1 phase 2 and UHD-2. The UHD-1 phase 2 specification includes several new features such as High Dynamic Range (HDR) and High Frame-Rate (HFR). It has been shown in several studies that HFR (+100 fps) enhances the perceptual quality and that this quality enhancement is content-dependent. On the other hand, HFR brings several challenges to the transmission chain including codec complexity increase and bit-rate overhead, which may delay or even prevent its deployment in the broadcast echo-system. In this paper, we propose a Variable Frame Rate (VFR) solution to determine the minimum (critical) frame-rate that preserves the perceived video quality of HFR video. The frame-rate determination is modeled as a 3-class classification problem which consists in…
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