Insertion of Impairments in Test Video Sequences for Quality Assessment Based on Psychovisual Characteristics

Abstract

Assessing video quality is a complex task. While most pixel-based metrics do not present enough correlation between objective and subjective results, algorithms need to correspond to human perception when analyzing quality in a video sequence. For analyzing the perceived quality derived from concrete video artifacts in determined region of interest we… (More)

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