A personalized image retrieval based on visual perception - 文章详情页

作者：

Zhang, J. (Zhang, J..) (学者：张菁) | Shen, L. (Shen, L..) | Feng, D.D. (Feng, D.D..)

收录：

Scopus

摘要：

A　new　scheme　named　personalized　image　retrieval　technique　based　on　visual　perception　is　proposed　in　this　letter,　whose　motive　is　to　narrow　the　semantic　gap　by　directly　perceiving　user＇s　visual　information.　It　uses　visual　attention　model　to　segment　image　regions　and　eye-tracking　technique　to　record　fixations.　Visual　perception　is　obtained　by　analyzing　the　fixations　in　regions　to　measure　gaze　interests.　Integrating　visual　perception　into　attention　model　is　to　detect　the　Regions　Of　Interest　(ROIs),　whose　features　are　extracted　and　analyzed,　then　feedback　interests　to　optimize　the　results　and　construct　user　profiles.　©　2008　Science　Press.

关键词：

Personalized image retrieval; Regions Of Interest (ROIs); Semantic gap; Visual perception

作者机构：

[ 1 ] [Zhang, J.]Signal and Information Processing Lab., Beijing University of Technology, Beijing 100022, China
[ 2 ] [Zhang, J.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
[ 3 ] [Shen, L.]Signal and Information Processing Lab., Beijing University of Technology, Beijing 100022, China
[ 4 ] [Feng, D.D.]School of Information Technologies, University of Sydney, NSW 2006, Australia
[ 5 ] [Feng, D.D.]Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, Hong Kong

通讯作者信息：

张菁
[Zhang, J.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China

电子邮件地址：

zhj@bjut.edu.cn

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