Beyond categories: The visual memex model for reasoning about object relationships

Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference

Volumn , Issue , 2009, Pages 1222-1230

  Malisiewicz, Tomasz ^a   Efros, Alexei A ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

'CURRENT; APPEARANCE-BASED MODELING; CONTEXT MODELS; EXEMPLAR-BASED; OBJECT CATEGORIES; SCENE UNDERSTANDING; SPATIAL CONTEXT;

COMPUTER VISION;

EID: 84858736606     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Moshe Bar and Shimon Ullman. Spatial context in recognition. Perception, 25:343-352, 1996.
2. A.R. Hanson and E.M. Riseman. Visions: A computer system for interpreting scenes. Computer Vision Systems, pages 303-333, 1978.
3. T.M. Strat and M.A. Fischler. Context-based vision: Recognizing objects using information from both 2-d and 3-d imagery. PAMI, 13:1050-1065, 1991.
4. Xuming He, Richard S. Zemel, and Miguelá. Carreira- Perpiñán. Multiscale conditional random fields for image labeling. CVPR, pages 695-702, 2004.
5. Sanjiv Kumar and Martial Hebert. A hierarchical field framework for unified context-based classification. ICCV, 2005.
6. Jamie Shotton, John M. Winn, Carsten Rother, and Antonio Criminisi. Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation. ECCV, 2006.
7. Andrew Rabinovich, Anrea Vedaldi, Carolina Galleguillos, Eric Wiewora, and Serge Belongie. Objects in context. ICCV, 2007.
8. Carolina Galleguillos, Andrew Rabinovich, and Serge Belongie. Object categorization using cooccurrence, location and appearance. ECCV, 2008.
9. Devi Parikh, C. Lawrence Zitnick, and Tsuhan Chen. From appearance to context-based recognition: Dense labeling in small images. CVPR, 2008.
10. Bryan C. Russell, Antonio Torralba, Ce Liu, Rob Fergus, and William T. Freeman. Object recognition by scene alignment. NIPS, 2007.
11. Antonio Torralba. The context challenge. http://web.mit.edu/torralba/www/ carsAndFacesInContext.html.
12. Aristotle. Categories.
13. Ludwig Wittgenstein. Philosophical Investigations. Blackwell Publishing, 1953.
14. Eleanor Rosch. Principles of categorization. Cognition and Categorization, pages 27-48, 1978.
15. Shimon Edelman. Representation, similarity and the chorus of prototypes. Minds and Machines, 1995.
16. Ariadna Quattoni, M. Collins, and Trevor Darrell. Transfer learning for image classification with sparse prototype representations. CVPR, 2008.
17. D. L. Medin and M.M. Schaffer. Context theory of classification learning. Psychological Review, 85:207-238, 1978.
18. Robert M. Nosofsky. Attention, similarity, and the identification- categorization relationship. Journal of Experimental Psychology: General, 115(1):39-57, 1986.
19. Tomasz Malisiewicz and Alexei A. Efros. Recognition by association via learning per-exemplar distances. CVPR, 2008.
20. Moshe Bar. The proactive brain: memory for predictions. Philosophical Transactions of the Royal Society B, 364:1235-1243, 2009.
21. Vannevar Bush. As we may think. The Atlantic Monthly, 1945.
22. Bryan Russell, Antonio Torralba, Kevin Murphy, and William T. Freeman. Labelme: a database and web-based tool for image annotation. International Journal of Computer Vision, 77:157-173, 2008.
23. Antonio Torralba. Contextual priming for object detection. International Journal of Computer Vision, 53:169-191, 2003.
24. Rupert Paget and I. D. Longstaff. Texture synthesis via a noncausal nonparametric multiscale markov random field. IEEE Transactions on Image Processing, 1998.