"Clustering by composition" - Unsupervised discovery of image categories

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 36, Issue 6, 2014, Pages 1092-1106

  Faktor, Alon ^a   Irani, Michal ^a  

^a WEIZMANN INSTITUTE OF SCIENCE   (Israel)

Author keywords

category discovery; image affinities; Image clustering; unsupervised object recognition

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION;

CATEGORY DISCOVERY; COLLABORATIVE PROCESS; IMAGE AFFINITIES; IMAGE CLUSTERING; IMAGE COLLECTIONS; MULTIPLE IMAGE; RANDOMIZED SEARCH; WISDOM OF CROWDS;

OBJECT RECOGNITION;

EID: 84901840233     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2013.251     Document Type: Article

References (20)

1. C. Barnes, "Patchmatch: A Fast Randomized Matching Algorithm with Application to Image and Video," PhD thesis, Princeton Univ., 2011.
2. C. Barnes, E. Shechtman, A. Finkelstein, and D.B. Goldman, "Patchmatch: A Randomized Correspondence Algorithm for Structural Image Editing," Proc. ACM SIGGRAPH, 2009.
3. O. Boiman and M. Irani, "Similarity by Composition," Proc. Advances in Neural Information Processing Systems (NIPS), 2006.
4. O. Boiman, E. Shechtman, and M. Irani, "In Defense of Nearest- Neighbor Based Image Classification," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2008.
5. O. Chum, M. Perdoch, and J. Matas, "Geometric Minhashing: Finding a (Thick) Needle in a Haystack," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2009.
6. N. Dalal and B. Triggs, "Histograms of Oriented Gradients for Human Detection," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2005.
7. K. Grauman and T. Darrell, "Unsupervised Learning of Categories from Sets of Partially Matching Image Features," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2006.
8. C. Gu, J.J. Lim, P. Arbelaez, and J. Malik, "Recognition Using Regions," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2009.
9. G. Kim, C. Faloutsos, and M Hebert, "Unsupervised Modeling of Object Categories Using Link Analysis Techniques," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2008.
10. S. Lazebnik, C. Schmid, and J. Ponce, "Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2006.
11. Y.J. Lee and K. Grauman, "Foreground Focus: Unsupervised Learning from Partially Matching Images," Int'l J. Computer Vision, vol. 85, pp. 143-166, 2009.
12. Y.J. Lee and K. Grauman, "Shape Discovery from Unlabeled Image Collections," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2009.
13. N. Payet and S. Todorovic, "From a Set of Shapes to Object Discovery," Proc. 11th European Conf. Computer Vision (ECCV), pp. 57-70, 2010.
14. J. Philbin and A. Zisserman, "Object Mining Using a Matching Graph on Very Large Image Collections," Proc. Sixth Indian Conf. Computer Vision, Graphics & Image Processing (ICVGIP), 2008.
15. 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," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2006.
16. E. Shechtman and M. Irani, "Matching Local Self-Similarities Across Images and Videos," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2007.
17. J. Shi and J. Malik, "Normalized Cuts and Image Segmentation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 8, pp. 888-905, Aug. 2000.
18. J. Sivic, B.C. Russell, A.A. Efros, A. Zisserman, and W.T. Freeman, "Discovering Objects and Their Localization in Images," Proc. IEEE 10th Int'l Conf. Computer Vision (ICCV), 2005.
19. J. Sivic and A. Zisserman, "Video Google: A Text Retrieval Approach to Object Matching in Videos," Proc. IEEE Ninth Int'l Conf. Computer Vision (ICCV), 2003.
20. T. Tuytelaars, C.H. Lampert, M.B. Blaschko, and W. Buntine, "Unsupervised Object Discovery: A Comparison," Int'l J. Computer Vision, vol. 88, pp. 284-302, 2010.