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基于外部信息源的WWW图像语义提取研究
引用本文:张华,张淼,孟祥增. 基于外部信息源的WWW图像语义提取研究[J]. 计算机科学, 2006, 33(4): 211-214
作者姓名:张华  张淼  孟祥增
作者单位:哈尔滨工业大学,威海,计算机科学与技术学院,威海,264209;山东师范大学传播学院,济南,250014
摘    要:HTML文档作为WWW图像的外部信息源和我体,蕴涵了丰富的描述图像内容的文本信息。为了实现基于语义的WWW图像检索,本文提出了一种WWW图像语义表征模型和图像语义词典的建设方法,给出了一种利用图像语义词典从嵌有WWW图像的HTML网页的相关外部文本信息中提取WWW图像语义信息的具体方法和实验结果。

关 键 词:图像语义  图像分类  信息提取  语义表征模型

Methods of Extracting WWW Image Semantics Based on External Information
ZHANG Hua,ZHANG Miao,MENG Xiang-Zeng. Methods of Extracting WWW Image Semantics Based on External Information[J]. Computer Science, 2006, 33(4): 211-214
Authors:ZHANG Hua  ZHANG Miao  MENG Xiang-Zeng
Affiliation:1.School of Computer Science and Technology, Harbin Institute of Technology at Weihai, Weihai 264209;2.School of Communications, Shandong Normal University, Jinan 250014
Abstract:As external information sources and carriers of WWW image,HTML documents contained plentiful text in- formation which related closely to image's semantics.A model of representing the semantics of WWW image and a method of constructing the dictionaries of the semantics of WWW image are presented to realize image retrieval based on semantic.A method of extracting the keywords describing the semantics of WWW image from the related texts in HTML documents based on the dictionaries is introduced and the results of primary experiment are shown in the paper.
Keywords:Image semantics  Image classification   Information extracting  Model of representing semantics
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