Consistent image analogies using semi-supervised learning

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Cheng, Li ^a   Vishwanathan, S V N ^a   Zhang, Xinhua ^a  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; FACILITIES; FEATURE EXTRACTION; HIDDEN MARKOV MODELS; IMAGE PROCESSING; IMAGE SEGMENTATION; INFERENCE ENGINES; LARGE SCALE SYSTEMS; PATTERN RECOGNITION; SUPERVISED LEARNING;

A-PRIORI; EMPIRICAL EVALUATIONS; GLOBAL CONSISTENCY; IMAGE ANALOGIES; IMAGE QUILTING; LOCAL CONSISTENCY; MARKOV RANDOM FIELD; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; SOURCE IMAGING; STATE OF THE ARTS; TARGET IMAGING;

LEARNING ALGORITHMS;

EID: 51949113336     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587364     Document Type: Conference Paper

References (11)

1. M. Belkin, P. Niyogi, and V. Sindhwani. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. J. Mach. Learn. Res., 7:2399-2434, November 2006.
2. A. A. Efros and W. T. Freeman. Image quilting for texture synthesis and transfer. In Proc. SIGGRAPH, pages 341-346, 2001.
3. W. T. Freeman, T. R. Jones, and E. C. Pasztor. Example-based super-resolution. IEEE Computer Graphics and Applications, 22(2):56-65, 2002.
4. W. T. Freeman, E. C. Pasztor, and O. T. Carmichael. Learning low-level vision. Int. J. Comput. Vision, 40(1):25-47, 2000.
5. A. Hertzmann, C. Jacobs, N. Oliver, B. Curless, and D. Salesin. Image analogies. In Proc. SIGGRAPH, pages 327-340, 2001.
6. M. I. Jordan. An Introduction to Probabilistic Graphical Models. MIT Press, 2002. To Appear.
7. A. Levin, D. Lischinski, and Y. Weiss. Colorization using optimization. In Proc. SIGGRAPH, pages 689-694, 2004.
8. R. Rosales, K. Achan, and B. Frey. Unsupervised image translation. iccv, 01:472, 2003.
9. V. Sindhwani, P. Niyogi, and M. Belkin. Beyond the point cloud: from transductive to semi-supervised learning. In Proc. Intl. Conf. Machine Learning, pages 824-831, 2005.
10. J. Tenenbaum and W. Freeman. Separating style and content with bilinear models. Neural Computation, 12(6):1247-1283, 2000.
11. X. Zhu. Semi-supervised learning literature survey. Technical Report 1530, University of Wisconsin-Madison, 2005.