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Image esthetic assessment using both hand-crafting and semantic features

文献类型：期刊论文

作者Guo, Lihua1; Xiong, Yangchao1; Huang, Qinghua1; Li, Xuelong2
刊名neurocomputing
出版日期2014-11-02
卷号143期号:si页码:14-26
关键词Image esthetic assessment Clarity region detection Hand-crafting features extraction Semantic features extraction
ISSN号0925-2312
英文摘要automatically assessing the visual esthetics of images is of great interest in high-level vision research and has drawn much attention in recent years. traditional methods heavily depend on the performance of subject region extraction. this paper proposes to use semantic features in the esthetic assessment system because they can implicitly represent the image topic and be helpful if the subject region extraction fails. accordingly, a framework combining the hand-crafting features with semantic features is proposed to evaluate image esthetic quality. the experimental results show that the semantic features can improve the performance of image esthetic assessment. (c) 2014 elsevier b.v. all rights reserved.
WOS标题词science & technology ; technology
类目[WOS]computer science, artificial intelligence
研究领域[WOS]computer science
关键词[WOS]quality assessment ; sparse representation ; classification ; statistics ; photo
收录类别SCI ; EI
语种英语
WOS记录号WOS:000340982800003
公开日期2015-03-18
源URL[http://ir.opt.ac.cn/handle/181661/22393]  
专题西安光学精密机械研究所_光学影像学习与分析中心
作者单位1.S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China
2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714		 Guo, Lihua,Xiong, Yangchao,Huang, Qinghua,et al. Image esthetic assessment using both hand-crafting and semantic features[J]. neurocomputing,2014,143(si):14-26.
APA Guo, Lihua,Xiong, Yangchao,Huang, Qinghua,&Li, Xuelong.(2014).Image esthetic assessment using both hand-crafting and semantic features.neurocomputing,143(si),14-26.
MLA Guo, Lihua,et al."Image esthetic assessment using both hand-crafting and semantic features".neurocomputing 143.si(2014):14-26.

入库方式： OAI收割

来源：西安光学精密机械研究所

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