Image classification using spatial pyramid robust sparse coding
Zhang, Chunjie1; Wang, Shuhui2; Huang, Qingming1; Liu, Jing3; Liang, Chao4; Tian, Qi5
刊名PATTERN RECOGNITION LETTERS
2013-07-01
卷号34期号:9页码:1046-1052
关键词Image classification Robust sparse coding Spatial pyramid coding
英文摘要Recently, the sparse coding based codebook learning and local feature encoding have been widely used for image classification. The sparse coding model actually assumes the reconstruction error follows Gaussian or Laplacian distribution, which may not be accurate enough. Besides, the ignorance of spatial information during local feature encoding process also hinders the final image classification performance. To address these obstacles, we propose a new image classification method by spatial pyramid robust sparse coding (SP-RSC). The robust sparse coding tries to find the maximum likelihood estimation solution by alternatively optimizing over the codebook and local feature coding parameters, hence is more robust to outliers than traditional sparse coding based methods. Additionally, we adopt the robust sparse coding technique to encode visual features with the spatial constraint. Local features from the same spatial sub-region of images are collected to generate the visual codebook and encode local features. In this way, we are able to generate more discriminative codebooks and encoding parameters which eventually help to improve the image classification performance. Experiments on the Scene 15 dataset and the Caltech 256 dataset demonstrate the effectiveness of the proposed spatial pyramid robust sparse coding method. (C) 2013 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
收录类别SCI
语种英语
WOS记录号WOS:000318889800013
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/3374]  
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.Chinese Acad Sci, Key Lab Intel Info Proc, Inst Comp Technol, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
4.Wuhan Univ, Natl Engn Res Ctr Multimedia Software, Wuhan 430072, 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,Wang, Shuhui,Huang, Qingming,et al. Image classification using spatial pyramid robust sparse coding[J]. PATTERN RECOGNITION LETTERS,2013,34(9):1046-1052.
APA Zhang, Chunjie,Wang, Shuhui,Huang, Qingming,Liu, Jing,Liang, Chao,&Tian, Qi.(2013).Image classification using spatial pyramid robust sparse coding.PATTERN RECOGNITION LETTERS,34(9),1046-1052.
MLA Zhang, Chunjie,et al."Image classification using spatial pyramid robust sparse coding".PATTERN RECOGNITION LETTERS 34.9(2013):1046-1052.
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