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
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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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