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

被引：5
|
作者：
Komogortsev, Oleg V. [1 ]
Khan, Javed I. [2 ]
机构：
[1] Texas State Univ San Marcos, Dept Comp Sci, San Marcos, TX 78666 USA
[2] Kent State Univ, Dept Comp Sci, Kent, OH 44242 USA
来源：
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS | 2008年 / 4卷 / 03期
关键词：
algorithms; performance; design; reliability; experimentation; human factors; verification; real-time multimedia compression; human visual system;
D O I：
10.1145/1386109.1386116
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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收藏
页数：16
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