抄録
Selective visual attention is an integral mechanism of the human visual system that is often neglected when designing perceptually relevant image and video quality metrics. Disregarding attention mechanisms assumes that all distortions in the visual content impact equally on the overall quality perception, which is typically not the case. Over the past years we have performed several experiments to study the effect of visual attention on quality perception. In addition to gaining a deeper scientific understanding of this matter, we were also able to use this knowledge to further improve various quality prediction models. In this article, I review our work with the aim to increase awareness on the importance of visual attention mechanisms for the effective design of quality prediction models.
