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Quality-driven Variable Frame-Rate for Green Video Coding in Broadcast Applications

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 dynamically and locally selecting one frame-rate among three: 30, 60 and 120 frames per second. Two random forests classifiers are trained with a ground truth carefully built by experts for this purpose. The subjective results conducted on ten HFR video contents, not included in the training set, clearly show the efficiency of the proposed solution enabling to locally determine the lowest possible frame-rate while preserving the quality of the HFR content. Moreover, our VFR solution enables significant bit-rate savings and complexity reductions at both encoder and decoder sides.
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Contributor : Wassim Hamidouche Connect in order to contact the contributor
Submitted on : Tuesday, December 29, 2020 - 3:46:07 PM
Last modification on : Wednesday, November 3, 2021 - 4:09:07 AM
Long-term archiving on: : Tuesday, March 30, 2021 - 6:04:30 PM


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Glenn Herrou, Charles Bonnineau, Wassim Hamidouche, Patrick Dumenil, Jerome Fournier, et al.. Quality-driven Variable Frame-Rate for Green Video Coding in Broadcast Applications. IEEE Transactions on Circuits and Systems for Video Technology, Institute of Electrical and Electronics Engineers, 2020, pp.1-1. ⟨10.1109/TCSVT.2020.3046881⟩. ⟨hal-03088093⟩



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