Joint image representation and classification in random semantic spaces
文献类型：期刊论文
| 作者 | Zhang, Chunjie1 ; Zhu, Xiaobin2; Li, Liang1; Zhang, Yifan3; Liu, Jing3; Huang, Qingming1,4; Tian, Qi5
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| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2015-05-25 |
| 卷号 | 156页码:79-85 |
| 关键词 | Image representation Image classification Semantic space Random sampling Sparse representation |
| 英文摘要 | 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. |
| 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] | FEATURES ; DESCRIPTORS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000351978100009 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/10000]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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