Joint image representation and classification in random semantic spaces
Zhang, Chunjie1; Zhu, Xiaobin2; Li, Liang1; Zhang, Yifan3; Liu, Jing3; Huang, Qingming1,4; Tian, Qi5
2015-05-25
发表期刊NEUROCOMPUTING
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
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/10000
专题模式识别国家重点实验室_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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
1-s2.0-S092523121500(1647KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhang, Chunjie]的文章
[Zhu, Xiaobin]的文章
[Li, Liang]的文章
百度学术
百度学术中相似的文章
[Zhang, Chunjie]的文章
[Zhu, Xiaobin]的文章
[Li, Liang]的文章
必应学术
必应学术中相似的文章
[Zhang, Chunjie]的文章
[Zhu, Xiaobin]的文章
[Li, Liang]的文章
相关权益政策
暂无数据
收藏/分享
文件名: 1-s2.0-S0925231215000089-main.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。