The DOI matches its Crossref record.
Histogram intersection kernel for image classification
Abstract
In this paper we address the problem of classifying images, by exploiting global features that describe color and illumination properties, and by using the statistical learning paradigm. The contribution of this paper is twofold. First, we show that histogram intersection has the required mathematical properties to be used as a kernel function for support vector machines (SVMs). Second, we give two examples of how a SVM, equipped with such a kernel, can achieve very promising results on image classification based on color information.
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Citations
Cited by
Efficient Additive Kernels via Explicit Feature Maps
Vedaldi, A., & Zisserman, A. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.153 · Cited by 688
Zhao, B., Zhong, Y., Xia, G.-S., & Zhang, L. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2015.2496185 · Cited by 361
Huang, S. H., Pan, J., Mulcaire, G., & Abbeel, P. (2015) · 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2015.7353475 · Cited by 39
Metadata
- Authors
- Barla, A., Odone, F., & Verri, A.
- Venue
- Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)
- Publisher
- IEEE
- Published
- 2004-06-03
- Volume
- 2
- Pages
- III-513-16
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W1515999713
- Cited by
- 281
- References
- 0
- FWCI
- 2.50
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Histogram intersection kernel for image classification. https://app.cochat.ai/papers/10.1109/icip.2003.1247294
- The paper
- Barla, A., Odone, F., & Verri, A. (2004). Histogram intersection kernel for image classification. Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429). https://doi.org/10.1109/icip.2003.1247294
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
