中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Visual Ontology Construction for Digitized Art Image Retrieval

文献类型:期刊论文

作者Tie-Jun Huang(黄铁军); Jun Du(杜军); Shu-Qiang Jiang(蒋树强); Wen Gao(高文); Qing-Ming Huang(黄庆明)
刊名Journal of Computer Science and Technology
出版日期2005
卷号20期号:6页码:855-860
关键词Ontology Design Image/video Retrieval Image Database
英文摘要Current investigations on visual information retrieval are generally content-based methods. The significant difference between similarity in low-level features and similarity in high-level semantic meanings is still a major challenge in the area of image retrieval. In this work, a scheme for constructing visual ontology to retrieve art images is proposed. The proposed ontology describes images in various aspects, including type & style, objects and global perceptual effects. Concepts in the ontology could be automatically derived. Various art image classification methods are employed based on low-level image features. Non-objective semantics are introduced, and how to express these semantics is given. The proposed ontology scheme could make users more naturally find visual information and thus narrows the ``semantic gap''. Experimental implementation demonstrates its good potential for retrieving art images in a human-centered manner.
语种英语
公开日期2010-11-03
源URL[http://ictir.ict.ac.cn/handle/311040/831]  
专题中国科学院计算技术研究所期刊论文_2005年英文
推荐引用方式
GB/T 7714
Tie-Jun Huang,Jun Du,Shu-Qiang Jiang,et al. Visual Ontology Construction for Digitized Art Image Retrieval[J]. Journal of Computer Science and Technology,2005,20(6):855-860.
APA Tie-Jun Huang,Jun Du,Shu-Qiang Jiang,Wen Gao,&Qing-Ming Huang.(2005).Visual Ontology Construction for Digitized Art Image Retrieval.Journal of Computer Science and Technology,20(6),855-860.
MLA Tie-Jun Huang,et al."Visual Ontology Construction for Digitized Art Image Retrieval".Journal of Computer Science and Technology 20.6(2005):855-860.

入库方式: OAI收割

来源:计算技术研究所

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