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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shenghua Gao Tsang, I.W. Liang-Tien Chia Peilin Zhao |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Computer Engineering, Nanyang Technological University, Singapore (Shenghua Gao; Tsang, I.W.; Liang-Tien Chia; Peilin Zhao) |
| Abstract | Sparse coding which encodes the original signal in a sparse signal space, has shown its state-of-the-art performance in the visual codebook generation and feature quantization process of BoW based image representation. However, in the feature quantization process of sparse coding, some similar local features may be quantized into different visual words of the codebook due to the sensitiveness of quantization. In this paper, to alleviate the impact of this problem, we propose a Laplacian sparse coding method, which will exploit the dependence among the local features. Specifically, we propose to use histogram intersection based kNN method to construct a Laplacian matrix, which can well characterize the similarity of local features. In addition, we incorporate this Laplacian matrix into the objective function of sparse coding to preserve the consistence in sparse representation of similar local features. Comprehensive experimental results show that our method achieves or outperforms existing state-of-the-art results, and exhibits excellent performance on Scene 15 data set. |
| Starting Page | 3555 |
| Ending Page | 3561 |
| File Size | 906137 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424469840 |
| ISSN | 10636919 |
| e-ISBN | 9781424469857 |
| DOI | 10.1109/CVPR.2010.5539943 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Laplace equations Image coding Image classification Quantization Signal processing Sparse matrices Signal generators Image representation Histograms Layout |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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