A PERSONALIZED IMAGE RETRIEVAL BASED ON VISUAL PERCEPTION

查看全文 作　　者：Zhang [1]Jing;Shen [1]Lansun;David Dagan [2,3]Feng

机构地区：[1]Signal & Information Processing Lab., Beijing University of Technology, Beijing 100022, China;[2]School of Information Technologies, the University of Sydney, NSW 2006, Australia;[3]Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, China

出　　处：《Journal of Electronics(China)》索引2008年第25卷第1期,共5页

基　　金：Supported by the National Natural Science Foundation of China (No.60472036, No.60431020, No.60402036);the Natural Science Foundation of Beijing (No.4042008);and Ph.D. Foundation of Ministry of Education (No.20040005015). 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. 关键词：视知觉语义空白计算机技术 ROIs

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A PERSONALIZED IMAGE RETRIEVAL BASED ON VISUAL PERCEPTION

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