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

Author:

Komogortsev Oleg V.1,Khan Javed I.2

Affiliation:

1. Texas State University-San Marcos, San Marcos, TX

2. Kent State University, Kent, OH

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.

Funder

Defense Advanced Research Projects Agency

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture

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