A probabilistic pairwise-preference predictor for image quality

Reibman, Amy R.; Shirley, Kenneth E.; Tian, Chao

doi:10.1109/icip.2013.6738085

Cited by 3 publications

(1 citation statement)

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“…Reibman et al [11] proposed a method to jointly test image quality estimators using paired comparison and many metrics. Hanhart et al [6] proposed Receiver Operating Characteristic (ROC) based analysis to use indirect scaling data and Krasula et al [12] used direct scaling data for objective quality benchmarking.…”

Section: Introductionmentioning

confidence: 99%

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

Bhat

Thiesse

Callet

2019

2019 IEEE International Conference on Image Processing (ICIP)

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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.

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Section: Introductionmentioning

confidence: 99%