In digital video systems, impairments introduced during the capture, coding/decoding processes, delivery and display might reduce the perceived quality of the visual content. Recent developments in the area of visual quality have focused on trying to incorporate aspects of gaze patterns into the design of visual quality metrics, mostly using the assumption that visual distortions appearing in less salient areas might be less visible and, therefore, less annoying. Most of these studies, however, have considered the presence of a single artifact (e.g. blockiness or blur) impairing the image. In practice, this is not the case, as multiple artifacts may overlap, and their combined appearance may be strong enough to deviate saliency from its natural pattern. In this work, our focus is on measuring the impact and the influence of combinations of artifacts on the video saliency. For this purpose, we tracked eye-movements of participants in a subjective quality assessment experiment during a free-viewing and a quality assessment tasks. Results show that the gaze locations change from pristine videos to impaired videos. These changes seem to be more related to the quality level and content of videos than to the specific combination of artifacts.