  This paper uses a crowdsourced dataset of online video streaming sessions to
investigate opportunities to reduce the power consumption while considering
QoE. For this, we base our work on prior studies which model both the
end-user's QoE and the end-user device's power consumption with the help of
high-level video features such as the bitrate, the frame rate, and the
resolution. On top of existing research, which focused on reducing the power
consumption at the same QoE optimizing video parameters, we investigate
potential power savings by other means such as using a different playback
device, a different codec, or a predefined maximum quality level. We find that
based on the power consumption of the streaming sessions from the crowdsourcing
dataset, devices could save more than 55% of power if all participants adhere
to low-power settings.
