Learning optimal compact codebook for efficient object categorization

2008 IEEE Workshop on Applications of Computer Vision, WACV

Volumn , Issue , 2008, Pages

  Li, Teng ^a   Mei, Tao ^b   In, So Kweon ^b  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CODES (SYMBOLS); COMPUTER APPLICATIONS; COMPUTER NETWORKS; COMPUTER VISION; IMAGE PROCESSING; MAXIMUM LIKELIHOOD ESTIMATION; POWDERS;

CODE BOOKS;

CLUSTERING ALGORITHMS;

EID: 50849132595     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2008.4544027     Document Type: Conference Paper

References (19)

1. G. Csurka, C. Dance, L. Fan, J. Williamowski, and C. Bray "Visual Categorization with Bags of Keypoints", In Proc. of SLCV Workshop, ECCV'04, pp. 59-74, Prague, 2004.
2. J. Winn, A. Criminisi, and T. Minka, "Object Categorization by Learned Universal Visual Dictionary", In Proc. of ICCV'05, pp. 1800-1807, Beijing, 2005.
3. F. Perronnin, C. Dance, G. Csurka and M. Bressan, "Adapted vocabularies for generic visual categorization", In Proc. of ECCV'06, Graz, 2006.
4. F. Jurie and B. Triggs, "Creating Efficient Codebooks for Visual Recognition", In Proc. of ICCV'05, Beijing, 2005.
5. B. Leibe and B. Schiele, "Interleaved object categorization and segmentation", In Proc. of BMVC'03, 2003.
6. J. Sivic, B. Russell, A. Efros, A. Zisserman and B. Freeman, "Discovering objets and their locations in images", In Proc. of ICCV'05, Beijing, 2005.
7. L. Fei-Fei, R. Fergus, and P. Perona, "A bayesian hierarchical model for learning natural scene categories", In Proc. of CVPR'05, Washington DC, 2005.
8. D. Nist́er and H. Steẃenius. Scalable recognition with a vocabulary tree. In Proc. of CVPR, 2006.
9. D. Larlus and F. Jurie, "Latent Mixture Vocabularies for Object Categorization", In Proc. of BMVC, 2006.
10. F. Moosmann, B. Triggs and F. Jurie, "Fast Discriminative Visual Codebooks using Randomized Clustering Forests", In Proc. of NIPS, 2006.
11. S. Kim, I. Kweon, "Simultaneous Classification and Visual Word Selection using Entropy-based Minimum Description Length," In Proc. of ICPR, 2006.
12. S. Kim, I. Kweon, "Object Categorization Robust to Surface Markings using Entropy-guided Codebook," In Proc. of WACV, 2007.
13. E. Nowak, F. Jurie, and B. Triggs, "Sampling Strategies for Bag-of-Features Image Classification", In Proc. of ECCV'06, volume IV, pp. 490-503, Graz, 2006.
14. D.G. Lowe, "Distinctive image features from scale-invariant keypoints", IJCV, 60(2):91-110, 2004.
15. Duda and Hart, "Pattern Classification", the 2nd edition, 2001.
16. Caltech-4 object class dataset, available at http://www.vision.caltech. edu/archive.html.
17. G. Dorko and C. Schmid, "Selection of scale-invariant parts for object class recognition", In Proc. of ICCV'03, Nice, France, pp. 634-640, 2003.
18. R. Fergus, P. Perona, A. Zisserman, "Object Class Recognition by Unsupervised Scale-Invariant Learning" In Proc. of CVPR'03, 2003.
19. M. Weber, M. Welling, and P. Perona. Unsupervised learning models for recognition. In Proc. of ECCV, pages 18-32, 2000.