摘要
针对目前基于内容的图像检索系统中,难以客观弥补语义鸿沟的问题,提出了一种利用视点跟踪技术检测感兴趣区的方法。人眼注视运动传递了大量反映个体心理活动的信息。通过实时捕获人眼的注视点,客观地获得用户兴趣信息,根据注视点位置计算用户兴趣度,最终提取图像感兴趣区。本文提出了一种低复杂度的实时视点跟踪方法,定义了兴趣度的度量公式,并建立了一套基于视点跟踪的感兴趣区检测实验平台。实验结果表明,该方法可以有效地提取用户感兴趣区,弥补语义鸿沟。
As existing CBIR systems are difficult to bridge the semantic gap, a new region of interest （ROD detection method is proposed based on gaze tracking. Eye-gaze conveys a great deal of information including the underlying mental process of the subject. The user interests are real-time obtained by tracking gaze points, then the ROI is detected. A real-time and low complexity.gaze tracking method is proposed and the interest measure functions are defined. A platform for gaze tracking based ROI detection is designed and implemented. Experimental results show that the ROI can be detected by the method, and the semantic gap is bridged.
出处
《数据采集与处理》
CSCD
北大核心
2010年第1期50-55,共6页
Journal of Data Acquisition and Processing
基金
国家自然科学基金(60772069)资助项目
国家高技术研究发展计划("八六三"计划)(2009AA12Z111
2008AA01A313)资助项目
北京市自然科学基金(4102008)资助项目
北京市归回留学人员择优资助项目
北京工业大学博士科研启动基金资助项目
关键词
图像检索
视点跟踪
语义鸿沟
感兴趣区
image retrieval
gaze tracking
semantic gap
region of interest
