Predictive real-time perceptual compression based on eye-gaze-position analysis

Authors:
Oleg V. Komogortsev;Javed I. Khan
Affiliations:
Texas State University-San Marcos, San Marcos, TX;Kent State University, Kent, OH
Venue:
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Year:
2008

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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.