SUAVE: sensor-based user-aware viewing enhancement for mobile device displays

Authors:
Robert LiKamWa;Lin Zhong
Affiliations:
Rice University, Houston, TX, USA;Rice University, Houston, TX, USA
Venue:
Proceedings of the 24th annual ACM symposium adjunct on User interface software and technology
Year:
2011

Citing 3
Cited 0

Robust Real-Time Face Detection

International Journal of Computer Vision
Viewing direction-aware backlight scaling

Proceedings of the 17th ACM Great Lakes symposium on VLSI
Display adaptive tone mapping

ACM SIGGRAPH 2008 papers

Quantified Score

Hi-index	0.00

Visualization

Abstract

As mobile devices are used in various environments, ambient light and wide viewing direction impair a display's perceived display quality. To combat these effects, we introduce SUAVE, our Sensor-based User-Aware Viewing Enhancement system. SUAVE senses the ambient light and viewing direction and applies corresponding image enhancements to the display content, increasing its usability. SUAVE employs a parameter calibration process to help users select suitable image enhancements for particular viewing contexts. We report implementations of SUAVE on a Motorola Xoom Tablet and an Apple iPhone 4.