An eye-tracking-based adaptive multimedia streaming scheme

Traditionally, adaptive multimedia streaming schemes aim to adjust features such as bandwidth to respond to changing network conditions, in the hope the the user perceptual impact of any quality loss is, if not unnoticed, minimised. However, current solutions equally affect the whole viewing area of the multimedia frames, despite research showing that there are regions of the frame which are perceptually more relevant than others. This paper presents a novel eye-tracking-based adaptive scheme (ETAS) for multimedia streaming that performs transmission-related quality adjustments by selectively degrading the quality of those regions of the viewers are the least interested in, leaving perceptually relevant regions unchanged.