With the recent availability of low-cost, consumergrade eye trackers, visual-attention-based bit allocation techniques for network video streaming have been introduced [50]. To improve the efficacy of such gaze-based networked systems, gaze prediction strategies can be used to predict future gaze locations to lower the end-to-end reaction delay due to the finite round trip time (RTT) of transmission networks. Feng et al. [50] demonstrated that the bit rate can be reduced by slightly more than 20%, without noticeable visual quality degradation, even when end-to-end network delays ares as high as 200 ms.