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自动提取布局结构相似网页的结构化信息 被引量:1
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作者 赵靖 王侨文 +1 位作者 管马周 单传佳 《安徽科技学院学报》 2010年第6期37-42,共6页
数据库驱动的Web站点根据查询产生的Web页结构布局都是极其相似的;现有的Web提取方法忽视或者忽略了这种相似性,因而在提取效率性能和通用性上都有较大的限制。本文提出一种基于标签树相似度的模板自动学习方法;进而根据模板来提取这类... 数据库驱动的Web站点根据查询产生的Web页结构布局都是极其相似的;现有的Web提取方法忽视或者忽略了这种相似性,因而在提取效率性能和通用性上都有较大的限制。本文提出一种基于标签树相似度的模板自动学习方法;进而根据模板来提取这类网页的数据;并利用Eclipse和开源HTML Parser对算法进行了实现;实验结果表明该算法具有较快的提取速度和较好的准确率。 展开更多
关键词 深层Web 标签树-相似度模型 结构化信息提取
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No-Reference Quality Assessment of Enhanced Images
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作者 Leida Li Wei Shen +3 位作者 Ke Gu Jinjian Wu Beijing Chen Jianying Zhang 《China Communications》 SCIE CSCD 2016年第9期121-130,共10页
Image enhancement is a popular technique,which is widely used to improve the visual quality of images.While image enhancement has been extensively investigated,the relevant quality assessment of enhanced images remain... Image enhancement is a popular technique,which is widely used to improve the visual quality of images.While image enhancement has been extensively investigated,the relevant quality assessment of enhanced images remains an open problem,which may hinder further development of enhancement techniques.In this paper,a no-reference quality metric for digitally enhanced images is proposed.Three kinds of features are extracted for characterizing the quality of enhanced images,including non-structural information,sharpness and naturalness.Specifically,a total of 42 perceptual features are extracted and used to train a support vector regression(SVR) model.Finally,the trained SVR model is used for predicting the quality of enhanced images.The performance of the proposed method is evaluated on several enhancement-related databases,including a new enhanced image database built by the authors.The experimental results demonstrate the efficiency and advantage of the proposed metric. 展开更多
关键词 image enhancement quality assessment NO-REFERENCE perceptual feature SVR
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