On Accuracy of Objective Metrics for Assessment of Perceptual Pre-Processing for Video Coding

Madhukar Bhat (1) , Jean-Marc Thiesse (2) , Patrick Le Callet (1, 3)

1 LS2N - Laboratoire des Sciences du Numérique de Nantes
2 VITEC
3 LS2N - équipe IPI - Image Perception Interaction

The objective assessment of encoding performance is a key aspect of video delivery optimization. Objective metrics typically do not address fully the different viewing distances and behavior of compression artifacts being subjected to perceptual changes in video. This poses a daunting task of optimizing compression for video delivery systems for specific viewing conditions and perceptual optimization. This paper introduces a perceptual pre-processing and then discusses accuracy of typically used objective metrics for judging performance of pre-processing for observers at different viewing distances. To this end, this paper reports an in-depth analysis to check if objective metrics can successfully match subjective results at critical pairs i.e. pre-processed and original video at same QP.

Mots clés: Perceptual pre-processing; Objective quality metrics; Paired comparison; critical pairs; perceptual performance

Domaines: Traitement des images [eess.IV]

Madhukar Bhat, Jean-Marc Thiesse, Patrick Le Callet. On Accuracy of Objective Metrics for Assessment of Perceptual Pre-Processing for Video Coding. IEEE International Conference on Image Processing (ICIP 2019)), Sep 2019, Taipei, Taiwan. pp.136-140, ⟨10.1109/ICIP.2019.8802928⟩. ⟨hal-02417552⟩