| 数字图像语义标注模型比较与分析 |
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| 引用本文： | 陈金菊,欧石燕.数字图像语义标注模型比较与分析[J].图书情报工作,2018,62(6):116-124. |
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| 作者姓名： | 陈金菊 欧石燕 |
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| 作者单位： | 南京大学信息管理学院 南京 210023 |
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| 基金项目： | 本文系国家社会科学基金重点项目"基于关联数据的学术文献内容语义发布及其应用研究"（项目编号：17ATQ001）和国家社会科学基金重大项目"面向大数据的数字图书馆移动视觉搜索机制及应用研究"（项目编号：15ZDB126）研究成果之一。 |
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| 摘 要： | 目的/意义]图像语义标注的基础是图像语义标注模型的构建，对当前主流图像语义标注模型进行梳理和总结，剖析其在图像语义标注中的优缺点，可为后续相关研究提供借鉴和参考。方法/过程]采用文献调研法，总结出4类主要的图像语义标注模型，即Eakins模型、Jaimes&Chang模型、Kong模型、Panofsky模型。其后采用比较法和归纳法，从语义层次、可扩展性以及应用范围和方式3个方面对前三类模型进行比较分析。结果/结论]Eakins模型语义层次最全面，语义表达能力最强，应用范围最广；Kong模型的可扩展性最强，适应性最好。
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| 关 键 词： | 图像标注 语义图像标注 图像语义标注模型 |
| 收稿时间： | 2017-09-16 |
| 修稿时间： | 2017-12-02 |
Comparison and Analysis of the Semantic Models for Digital Image Annotation |
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| Chen Jinju,Ou Shiyan.Comparison and Analysis of the Semantic Models for Digital Image Annotation[J].Library and Information Service,2018,62(6):116-124. |
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| Authors: | Chen Jinju Ou Shiyan |
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| Institution: | School of Information Management, Nanjing University, Nanjing 210023 |
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| Abstract: | Purpose/significance] Semantic annotation of digital images is an effective way to solve this problem. The foundation of semantic image annotation is the construction of semantic models. This paper intends to review the existing mainstream semantic models for image annotation, and explore their advantages and disadvantages.Method/process] Firstly, four representative semantic models for image annotation were reviewed, including Eakins model, Jaimes & Chang model, Kong model and Panofsky model, using literature survey, and then the first three models from three aspects (i.e. semantic level, extensibility and application range) were compared and analyzed using comparative analysis.Result/conclusion] Through the above analysis, it can be concluded that Eakins model has the most comprehensive semantic level, the strongest semantic expression ability and the widest application range, whereas Kong model is the most scalable and adaptable one. |
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| Keywords: | image annotation semantic image annotation semantic models for image annotation |
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