2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDCOM-3.8
Paper Title Combining video quality metrics to select perceptually accurate resolution in a wide quality range: A case study
Authors Madhukar Bhat, VITEC/ LS2N, France; Jean-Marc Thiesse, VITEC S.A., France; Patrick Le Callet, University of Nantes, France
SessionCOM-3: Image and Video Communications
LocationArea H
Session Time:Tuesday, 21 September, 13:30 - 15:00
Presentation Time:Tuesday, 21 September, 13:30 - 15:00
Presentation Poster
Topic Image and Video Communications: Image & video multimedia communications
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract It is beneficial to have adaptive resolution selection during encoding for the viewer's optimal experience in a video delivery scenario. For instance, per-title content-adaptive techniques have been exploited for OTT/VOD delivery. An established solution is to build the selection of better resolution on typical video quality metrics. In this context, this paper first introduces measuring the performance of video quality metrics to accurately predict which encoding resolution is subjectively better suited to a particular scene of interest in a video. Then, with a Random Forest (RF) classifier, a novel, subjectively accurate classifier called RF-based fusion metric is proposed to decide which encoding resolution is best suited to compensate for individual metrics' disparate performance over different quality ranges. The proposed RF classifier encompasses classical video quality metric scores as features and is trained to be closer to subjective experimental results. Performance comparison of this proposed RF-based fusion metric is discussed in comparison to other metrics and subjective experiments.