Abstract

Backlight scaling is a technique proposed to reduce the display panel
power consumption by strategically dimming the backlight. However, for
Internet streaming to mobile devices, a computationally intensive
luminance compensation step must be performed in combination with
backlight scaling to maintain the perceived appearance of video
frames.  This step, if done by the CPU, could easily offset the power
savings via backlight dimming. Furthermore, computing the optimal
backlight scaling values requires per-frame luminance information,
which is typically too energy intensive to compute on mobile devices.
In this talk, I will present Content-Adaptive Display (CAD) for
Internet mobile streaming. CAD uses the mobile device's GPU rather
than the CPU to perform luminance compensation at reduced power
consumption. Optimal backlight scaling schedule is computed using a
more efficient dynamic programming algorithm than existing work.  We
implement CAD within an Android app and use a Monsoon power meter to
measure the real power consumption.  Experiments are conducted on more
than 470 randomly selected YouTube videos, and results show that CAD
can effctively produce power savings.

Speaker's Bio

Mengbai Xiao is a Ph.D. student of Computer Science Department at
George Mason University. His research interests incude mobile
computing, cloud storage, and security.