Predictive real-time perceptual compression based on eye-gaze-position analysis
Abstract
This article designs a real-time perceptual compression system (RTPCS) based on eye-gaze-position analysis. Our results indicate that the eye-gaze-position containment metric provides more efficient and effective evaluation of an RTPCS than the eye fixation containment. The presented RTPCS is designed for a network communication scenario with a feedback loop delay. The proposed RTPCS uses human visual system properties to compensate for the delay and to provide high ratios of multimedia compression.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Aug 01, 2008
- Source ID
- 10.1145/1386109.1386116
Entities
People
- Javed I. Khan
- Oleg V. Komogortsev
Organizations
- Defense Advanced Research Projects Agency
- Kent State University
- Texas State University