Joint image representation and classification in random semantic spaces

	Joint image representation and classification in random semantic spaces
	Zhang, Chunjie1 ; Zhu, Xiaobin 2; Li, Liang 1; Zhang, Yifan3 ; Liu, Jing3 ; Huang, Qingming 1,4; Tian, Qi 5
发表期刊	NEUROCOMPUTING
	2015-05-25
期号	156 页码:79-85
文章类型	Article
摘要	Local feature based image representation has been widely used for image classification in recent years. Although this strategy has been proven very effective, the image representation and classification processes are relatively independent. This means the image classification performance may be hindered by the representation efficiency. To jointly consider the image representation and classification in an unified framework, in this paper, we propose a novel algorithm by combining image representation and classification in the random semantic spaces. First, we encode local features with the sparse coding technique and use the encoding parameters for raw image representation. These image representations are then randomly selected to generate the random semantic spaces and images are then mapped to these random semantic spaces by classifier training. The mapped semantic representation is then used as the final image representation. In this way, we are able to jointly consider the image representation and classification in order to achieve better performances. We evaluate the performances of the proposed method on several public image datasets and experimental results prove the proposed method's effectiveness. (C) 2015 Elsevier B.V. All rights reserved.
关键词	Image Representation Image Classification Semantic Space Random Sampling Sparse Representation
WOS标题词	Science & Technology ; Technology
关键词[WOS]	FEATURES ; DESCRIPTORS
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000351978100009
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/10000
专题	紫东太初大模型研究中心_图像与视频分析
作者单位	1.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China 2.Beijing Technol & Business Univ, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Key Lab Intell Info Proc, Beijing 100190, Peoples R China 5.Univ Texas San Antonio, Dept Comp Sci, San Antonio, TX 78249 USA
推荐引用方式 GB/T 7714	Zhang, Chunjie,Zhu, Xiaobin,Li, Liang,et al. Joint image representation and classification in random semantic spaces[J]. NEUROCOMPUTING,2015(156):79-85.
APA	Zhang, Chunjie.,Zhu, Xiaobin.,Li, Liang.,Zhang, Yifan.,Liu, Jing.,...&Tian, Qi.(2015).Joint image representation and classification in random semantic spaces.NEUROCOMPUTING(156),79-85.
MLA	Zhang, Chunjie,et al."Joint image representation and classification in random semantic spaces".NEUROCOMPUTING .156(2015):79-85.

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