Region of interest detection method based on gaze tracking - 文章详情页

作者：

Zhao, M. (Zhao, M..) (学者：赵密) | Zhang, J. (Zhang, J..) | Zhuo, L. (Zhuo, L..) | Shen, L. (Shen, L..)

收录：

Scopus PKU CSCD

摘要：

As　existing　CBIR　systems　are　difficult　to　bridge　the　semantic　gap,　a　new　region　of　interest　(ROI)　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.

关键词：

Gaze tracking; Image retrieval; Region of interest; Semantic gap

作者机构：

[ 1 ] [Zhao, M.]Signal and Information Processing Lab., Beijing University of Technology, Beijing 100124, China
[ 2 ] [Zhang, J.]Signal and Information Processing Lab., Beijing University of Technology, Beijing 100124, China
[ 3 ] [Zhuo, L.]Signal and Information Processing Lab., Beijing University of Technology, Beijing 100124, China
[ 4 ] [Shen, L.]Signal and Information Processing Lab., Beijing University of Technology, Beijing 100124, China

通讯作者信息：

赵密
[Zhao, M.]Signal and Information Processing Lab., Beijing University of Technology, Beijing 100124, China

电子邮件地址：

mnky777@gmail.com

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