Semantic concept learning through massive Internet video mining

Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008

Volumn , Issue , 2008, Pages 847-853

  Yuan, Peijiang ^a   Zhang, Bo ^a   Li, Jianmin ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION MANAGEMENT; INFORMATION THEORY; INTERNET; ONTOLOGY; SEMANTICS; TECHNICAL PRESENTATIONS;

ANNOTATED TRAINING DATUM; CONCEPT DETECTIONS; CONCEPT LEARNING; GRAPH MODELS; INTERNET VIDEOS; NON-UNIFORM; SEMANTIC CONCEPT DETECTIONS; SEMANTIC CONCEPTS; VIDEO RETRIEVALS; WORDNET;

EDUCATION;

EID: 62449097303     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2008.114     Document Type: Conference Paper

References (32)

1. W. Ahmed, M. N. Ayyaz, B. Rajwa, F. Khan, A. Ghafoor, and J. P. Robinson. Semantic analysis of biological imaging data: Challenges and opportunities. International Journal on Semantic Computing, 1(1):67-85, 2007.
2. M. Bertini, R. Cucchiara, A. D. Bimbo, and A. Prati. Semantic adaptation of sport videos with user-centred performance analysis. IEEE Transactions on Multimedia, 8(3):433-443, 2005.
3. M. J. Carman and C. A. Knoblock. Learning semantic definitions of online information sources. Journal of Artificial Intelligence Research, 30:1-50, 2007.
4. G. Carneiro, A. B. Chan, P. J. Moreno, and N. Vasconcelos. Supervised learning of semantic classes for i mage annotation and retrieval. IEEE Trans. PAMI, 28(4):394-410, March 2007.
5. S.-F. Chang, D. Ellis, W. Jiang, K. Leel, A. Yanagawal, A. C. Loui, and J. Luo. Large-scale multimodal semantic concept detection for consumer video, pages 255-264, ACM MM, 2007.
6. S.-F. Chang, L. S. Kennedy, and E. Zavesky. Columbia university's semantic video search engine. CIVR, June 2007.
7. X. Cheng, C. Dale, and J. Liu. Understanding the characteristics of internet short video sharing: Youtube as a case study. University of Twente, Netherlands, June 2008.
8. http://web.media.mit.edu/hugo/conceptnet/.
9. http://wordnet.princeton.edu/.
10. http://www.lscom.org/.
11. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. pages 2169-2178, CVPR, 2006.
12. F.-F. Li, R. Fergus, and P. Perona. One-shot learning of object categories. IEEE Trans. PAMI, 28(4):594-611, April 2006.
13. J. Li and J. Z. Wang. Automatic linguistic indexing of pictures by a statistical modeling approach. IEEE Trans. PAMI, 25(9):594-611, September 2003.
14. D. Lowe. Object recognition from local scaleinvariant features. pages 1150-115, ICCV, 1999.
15. M. Makrehchi and M. Kamel. A text classification framework with a local feature ranking for learning social networks. pages 589-594, ICDM 2007, 2007.
16. W. Pu, N. Liu, S. Yan, J. Han, K. Xie, and Z. Chen. Local word bag model for text categorization, pages 625-630, ICDM 2007, 2007.
17. P. Quelhas and et al. A thousand words in a scene. IEEE Trans. PAMI, 29(9): 1575-1589, 2007.
18. Y. Rui, T. S. Huang, M. Ortega, and S. Mehrotra. IEEE Tran. Circuits and Systems for Video Technology, 8(5):644-655, 1998.
19. J. Sivic and A. Zisserman. Video google: A text retrieval approach to object matching in videos, pages 1-8, ICCV, 2003.
20. K. M. Squire and S. Levinson. A robotic framework for semantic concept learning, technical report. www.isle.uiuc.edu/acquisition/pubs/ksquire04, 2004.
21. H. M. Wallach. Topic modeling: beyond bag-ofwords, acm international conference proceeding series. pages 977-984, ICML, 2006.
22. D. Wang, X. Liu, L. Luo, J. Li, and B. Zhang. Video diver: generic video indexing with diverse features. pages 61-70, MIR, 2007.
23. J. Z. Wang and J. Li. Simplicity: Semantics-sensitive integrated matching for picture libraries. IEEE Trans. PAMI, 23(9):947-963, 2001.
24. F. Xu, L. Zhang, Y.-J. Zhang, and W.-Y Ma. Salient feature selection for visual concept learning. pages 617-628, PCM, 2005.
25. J. Yagnik and A. islam. Learning people annotation from the web via consistency learning. pages 285-290, MIR, 2007.
26. J. Yang, Y.-G. Jiang, A. G. Hauptmann, and C.-W Ngo. Evaluating bag-of-visual-words representations in scene classification. pages 197-206, MIR, 2007.
27. L. Yang, J. Liu, X. Yang, and X.-S. Hua. Multimodality web video categorization. pages 265-27, MIR, 2007.
28. Y. Yu and Z.-H. Zhou. A framework for modeling positive class expansion with single snapshot. pages 429-440, PAKDD'08, 2008.
29. M. yu Chen and A. Hauptmann. Discriminative fields for modeling semantic concepts in video. RIAO, 2007.
30. X. Zhou and T. Huang. Unifying keywords and visual contents in image retrieval. IEEE Multi Media, 9(2):23-33, 2002.
31. Z.-H. Zhou and H.-B. Dai. Exploiting image contents in web search. pages 2928-2933, IJCAI07, 2007.
32. J. Zhu, Z. Nie, J.-R. Wen, B. Zhang, and W.-Y. Ma. 2d conditional random fields for web information extraction. pages 1044-1051, ICML, August 2005.