Annoyance models for videos with spatio-temporal artifacts

Abstract

Although compression and transmission artifacts are likely to appear simultaneously in digital videos, their annoyance has been traditionally studied and modeled in isolation. So, while blockiness, blurriness, and packet-loss metrics exist, hardly any attempt has been made at modeling their joint impact on visual perception. In this paper, we evaluate the perceptual impact of those three artifacts on video quality. Based on data from three different experiments, in which a pool of participants evaluated videos impaired with packet-loss, blurriness and blockiness (in isolation and in combination), we analyze how the different artifacts combine to produce annoyance and propose several models for predicting the annoyance of videos impaired with combinations of packet-loss, blurriness and blockiness.