Geometric LDA: A generative model for particular object discovery

BMVC 2008 - Proceedings of the British Machine Vision Conference 2008

Volumn , Issue , 2008, Pages

  Philbin, James ^a   Sivic, Josef ^b   Zisserman, Andrew ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b ECOLE NORMALE SUPÉRIEURE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; STATISTICS;

GENERATIVE MODEL; IMAGE COLLECTIONS; IMAGE DATA MININGS; INFERENCE TECHNIQUES; LATENT DIRICHLET ALLOCATION; LATENT TOPIC MODEL; STATE OF THE ART; VISUAL WORD;

MODELS;

EID: 84898422575     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.22.39     Document Type: Conference Paper

References (28)

1. http://www.robots.ox.ac.uk/~vgg/data/oxbuildings/.
2. D. Blei, A. Ng, and M. Jordan. Latent dirichlet allocation. In NIPS, 2002.
3. A. Bosch, A. Zisserman, and X. Munoz. Scene classification using a hybrid generative/discriminative approach. IEEE PAMI, 30(4), 2008.
4. L. Cao and L. Fei-Fei. Spatially coherent latent topic model for concurrent object segmentation and classification. In Proc. ICCV, 2007.
5. C. Chemuduguntu, P. Smyth, and M. Steyvers. Modeling general and specific aspects of documents with a probabilistic topic model. In NIPS, 2007.
6. O. Chum, J. Philbin, J. Sivic, M. Isard, and A. Zisserman. Total recall: Automatic query expansion with a generative feature model for object retrieval. In Proc. ICCV, 2007.
7. G. Csurka, C. Bray, C. Dance, and L. Fan. Visual categorization with bags of keypoints. In Workshop on Statistical Learning in Computer Vision, ECCV, pages 1-22, 2004.
8. M. Cummins and P. Newman. Probabilistic appearance based navigation and loop closing. In Proc. IEEE International Conference on Robotics and Automation (ICRA'07), 2007.
9. L. Fei-Fei and P. Perona. A Bayesian hierarchical model for learning natural scene categories. In Proc. CVPR, Jun 2005.
10. R. Fergus, L. Fei-Fei, P. Perona, and A. Zisserman. Learning object categories from Google's image search. In Proc. ICCV, 2005.
11. M. A. Fischler and R. C. Bolles. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Comm. ACM, 24(6):381-395, 1981.
12. T. Griffiths and M. Steyvers. Finding scientific topics. Proceedings of the National Academy of Sciences, 101:5228-5235, 2004.
13. T. Hofmann. Unsupervised learning by probabilistic latent semantic analysis. Machine Learning, 43:177-196, 2001.
14. L.-J. Li, G. Wang, and L. Fei-Fei. Optimol: automatic online picture collection via incremental model learning. 2007.
15. D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004.
16. K. Mikolajczyk and C. Schmid. Scale & affine invariant interest point detectors. IJCV, 1(60):63-86, 2004.
17. J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Object retrieval with large vocabularies and fast spatial matching. In Proc. CVPR, 2007.
18. T. Quack, V. Ferrari, and L. Van Gool. Video mining with frequent itemset configurations. In Proc. CIVR, 2006.
19. P. Quelhas, F. Monay, J.-M. Odobez, D. Gatica, T. Tuytelaars, and L. Van Gool. Modeling scenes with local descriptors and latent aspects. In Proc. ICCV, pages 883-890, 2005.
20. B. C. Russell, A. A. Efros, J. Sivic, W. T. Freeman, and A. Zisserman. Using multiple segmentations to discover objects and their extent in image collections. In Proc. CVPR, 2006.
21. J. Sivic, B. C. Russell, A. A. Efros, A. Zisserman, and W. T. Freeman. Discovering object categories in image collections. In Proc. ICCV, 2005.
22. J. Sivic, B. C. Russell, A. Zisserman, W. T. Freeman, and A. A. Efros. Unsupervised discovery of visual object class hierarchies. In Proc. CVPR, 2008.
23. J. Sivic and A. Zisserman. Video Google: A text retrieval approach to object matching in videos. In Proc. ICCV, Volume 2, pages 1470-1477, Oct 2003.
24. J. Sivic and A. Zisserman. Video data mining using configurations of viewpoint invariant regions. In Proc. CVPR, Jun 2004.
25. E. Sudderth, A. Torralba, W. T. Freeman, and A. Willsky. Describing visual scenes using transformed objects and parts. IJCV, 77(1-3), 2008.
26. Z. Tu, X. Chen, A. L. Yuille, and S. C. Zhu. Image parsing: Unifying segmentation, detection, and recognition. IEEE PAMI, 62(2):113-140, 2005.
27. X. Wang and E. Grimson. Spatial latent dirichlet allocation. In NIPS, 2007.
28. J. Winn and N. Joijic. Locus: Learning object classes with unsupervised segmentation. In Proc. ICCV, 2005.