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ReadMe.txt
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========================================================================
Image Classification using Bag of Words and Spatial Pyramid BoW
Created by Piji Li
Email: [email protected]
Blog: http://www.zhizhihu.com
Weibo: http://www.weibo.com/pagecn
10/24/2011
Some code are from:
S. Lazebnik, C. Schmid, and J. Ponce, "Beyond Bags of Features: Spatial
Pyramid Matching for Recognizing Natural Scene Categories," CVPR 2006.
========================================================================
Use:
1, follow labes/readme to prepare data
2, go to libsvm/: make
3, modify ini.m: rootpath=your demo path, and then run main.m.
The BOW and Dictionary is in the dir:/data/global, size of BOW_sift.mat is (DictionarySize * #images).
Size of dictionary.mat is (DictionarySize * dim of features).spatial_pyramid.mat is the Spatial Pyramid BoW.
In /data/local is the sift features for each images.
========================================================================
Classification using BOW rbf_svm
Accuracy = 76.6667% (92/120) (classification)
Classification using histogram intersection kernel svm
Accuracy = 81.6667% (98/120) (classification)
Classification using Pyramid BOW rbf_svm
Accuracy = 82.5% (99/120) (classification)
Classification using Pyramid BOW histogram intersection kernel svm
Accuracy = 90% (108/120) (classification)
========================================================================
Idea from:
S. Lazebnik, C. Schmid, and J. Ponce, "Beyond Bags of Features: Spatial
Pyramid Matching for Recognizing Natural Scene Categories," CVPR 2006.
Images from:
Piji Li, Jun Ma, Shuai Gao. Actions in Still Web Images: Visualization, Detection and Retrieval.
The 12th International Conference on Web-Age InformationManagement (WAIM 2011). Springer, 2011.
SVM from:
Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector machines.
ACM Transactions on Intelligent Systems and Technology, 2:27:1--27:27, 2011. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm