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《Journal of Computer Research and Development》 2002-05
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SEMANTIC IMAGE RETRIEVAL:REVIEW AND RESEARCH

WANG Hui Feng, SUN Zheng Xing, and WANG Jian (State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093) (Department of Computer Science and Technology, Nanjing University, Nanjing 210093)  
Semantic image retrieval has been a crux to bridge "semantic gap" between the simple visual features and the abundant semantics delivered by an image. The state of the art of semantic image retrieval is given from three aspects: schemes of image semantic description, approaches to image semantic processing, and design for image retrieval system. Firstly, a few of object oriented image content models and image semantic content representations are introduced. Secondly, some typical methods for semantics extraction are analyzed in detail by classifying them into three classes: extraction by knowledge, extraction by interaction, and extraction from exterior information. Thirdly, the user interface and different semantic processing methods in image retrieval systems are discussed. Finally, four critical problems faced in semantic image retrieval, including object recognition, semantic knowledge base, user retrieval model, and performance evaluation, are explained. Towards them, some resolving strategies are presented elementarily.
【Fund】: 国家自然科学基金项目 ( 6990 30 0 6);; 教育部高等学校骨干教师资助项目 [教技司 ( 2 0 0 0 ) 65号 ];; 中国博士后科学基金 (中博基[1997] 11号 )资助
【CateGory Index】: TP391.3
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