Image esthetic assessment using both hand-crafting and semantic features

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Image esthetic assessment using both hand-crafting and semantic features
	Guo, Lihua 1; Xiong, Yangchao 1; Huang, Qinghua 1; Li, Xuelong2
刊名	neurocomputing
	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
内容类型	期刊论文
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.