Bayesian visual reranking

IEEE Transactions on Multimedia

Volumn 13, Issue 4, 2011, Pages 639-652

  Tian, Xinmie ^a   Yang, Linjun ^b   Wang, Jingdong ^b   Wu, Xiuqing ^a   Hua, Xian Sheng ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

Image search; ranking distance; video search; visual consistency; visual reranking

Indexed keywords

IMAGE SEARCH; RANKING DISTANCE; RE-RANKING; VIDEO SEARCH; VISUAL CONSISTENCY;

EID: 79960673900     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2011.2111363     Document Type: Article

References (36)

1. H. S. Chang, S. Sull, and S. U. Lee, "Efficient video indexing scheme for content-based retrieval," IEEE Trans. Circuits Syst. Video Technol., vol. 9, no. 8, pp. 1269-1279, Dec. 1999. (Pubitemid 32211347)
2. A. W. M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, "Content-based image retrieval at the end of the early years," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 12, pp. 1349-1380, Dec. 2000. (Pubitemid 32088465)
3. W. H. Hsu, L. S. Kennedy, and S.-F. Chang, "Video search reranking via information bottleneck principle," in Proc. ACM Int. Conf. Multimedia, 2006, pp. 35-44. (Pubitemid 47113499)
4. W. H. Hsu, L. S. Kennedy, and S.-F. Chang, "Video search reranking through random walk over document-level context graph," in Proc. ACM Int. Conf. Multimedia, 2007, pp. 971-980.
5. J. Liu, W. Lai, X.-S. Hua, Y. Huang, and S. Li, "Video search re-ranking via multi-graph propagation," in Proc. ACM Int. Conf. Multimedia, 2007, pp. 208-217.
6. Z. Cao, T. Qin, T.-Y. Liu, M.-F. Tsai, and H. Li, "Learning to rank: From pairwise approach to listwise approach," in Proc. Int. Conf. Machine Learning, 2007, p. 129-136.
7. S. M. Kendall and J. D. Gibbons, Rank Correlation Methods. London, U.K.: Edward Arnold, 1990.
8. X. Tian, L. Yang, J. Wang, Y. Yang, X. Wu, and X.-S. Hua, "Bayesian video search reranking," in Proc. ACM Int. Conf. Multimedia, 2008, pp. 131-140.
9. Y. Liu, T. Mei, J. Tang, X. Wu, and X.-S. Hua, "Learning to video search rerank via pseudo preference feedback," in Proc. IEEE Int. Conf. Multimedia & Expo, 2008, pp. 297-300.
10. R. Yan and A. G. Hauptmann, "Co-retrieval: A boosted reranking approach for video retrieval," in Proc. ACM Int. Conf. Content-Based Image and Video Retrieval, 2006, pp. 60-69.
11. R. Yan, A. G. Hauptmann, and R. Jin, "Multimedia search with pseudorelevance feedback," in Proc. ACM Int. Conf. Content-Based Image and Video Retrieval, 2003, pp. 238-247.
12. Y. Jing and S. Baluja, "Visualrank: Applying pagerank to large-scale image search," IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 11, pp. 1877-1890, Nov. 2008.
13. S. Zhang, Q. Huang, G. Hua, S. Jiang, W. Gao, and Q. Tian, "Building contextual visual vocabulary for large-scale image applications," in Proc. ACM Int. Conf. Multimedia, 2010, pp. 501-510.
14. L. Yang and A. Hanjalic, "Supervised reranking for web image search," in Proc. ACM Int. Conf. Multimedia, 2010, pp. 183-192.
15. J. G. Carbonell, Y. Yang, R. E. Frederking, R. D. Brown, Y. Geng, and D. Lee, "Translingual information retrieval:Acomparative evaluation," in Proc. Int. Joint Conf. Artificial Intelligence, 1997, pp. 708-715.
16. Y.-H.Yang, P. T.Wu, C.W. Lee, K. H. Lin, W. H. Hsu, and H. H. Chen, "Contextseer: Context search and recommendation at query time for shared consumer photos," in Proc. ACM Int. Conf. Multimedia, 2008, pp. 199-208.
17. N. Slonim and N. Tishby, "Agglomerative information bottleneck," in Proc. Advances in Neural Information Processing Systems, 1999, pp. 250-255.
18. T. Mei, X.-S. Hua, W. Lai, L. Yang, Z.-J. Zha, Y. Liu, Z. Gu, G.-J. Qi, M. Wang, J. Tang, X. Yuan, Z. Lu, and J. Liu, "Msra-ustc-sjtu at trecvid 2007: High-level feature extraction and search," in TREC Video Retrieval Evaluation Online Proc., 2007.
19. J. Meng, J. Yuan, Y. Jiang, N. Narasimhan, V. Vasudevan, and Y. Wu, "Interactive visual object search through mutual information maximization," in Proc. ACM Int. Conf. Multimedia, 2010, pp. 1147-1150.
20. L. S. Kennedy and S.-F. Chang, "A reranking approach for contextbased concept fusion in video indexing and retrieval," in Proc. ACMInt. Conf. Content-Based Image and Video Retrieval, 2007, pp. 333-340. (Pubitemid 350229644)
21. A. Natsev, A. Haubold, J. Tesic, L. Xie, and R. Yan, "Semantic concept- based query expansion and re-ranking for multimedia retrieval," in Proc. ACM Int. Conf. Multimedia, 2007, pp. 991-1000.
22. R. van Zwol, V. Murdock, L. G. Pueyo, and G. Ramírez, "Diversifying image search with user generated content," Multimedia Inf. Retriev., pp. 67-74, 2008.
23. K. Song, Y. Tian, W. Gao, and T. Huang, "Diversifying the image retrieval results," in Proc. ACM Multimedia, 2006, pp. 707-710. (Pubitemid 47113612)
24. R. H. van Leuken, L. G. Pueyo, X. Olivares, and R. van Zwol, "Visual diversification of image search results," in Proc. WWW, 2009, pp. 341-350.
25. I. J. Cox, M. L. Miller, T. P.Minka, T. Papathomas, and P. N. Yianilos, "The Bayesian image retrieval system, pichunter: Theory, implementation and psychophysical experiments," IEEE Trans. Image Process., vol. 9, no. 1, pp. 20-37, Jan. 2000. (Pubitemid 30562082)
26. R. Fergus, P. Perona, and A. Zisserman, "A visual category filter for Google images," in Proc. Eur. Conf. Computer Vision, 2004, pp. 242-256.
27. X. Zhu, Z. Ghahramani, and J. D. Lafferty, "Semi-supervised learning using Gaussian fields and harmonic functions," in Proc. Int. Conf. Machine Learning, 2003, pp. 912-919.
28. D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf, "Learning with local and global consistency," in Proc. Advances in Neural Information Processing Systems, 2003, pp. 321-328.
29. M. Wu and B. Schölkopf, "Transductive classification via local learning regularization," in Proc. Int. Conf. Artificial Intelligence and Statistics, 2007, pp. 624-631.
30. N. Cristianini and J. Shawe-Taylor, An introduction to support vector machines and other kernel-based learning methods Cambridge Univ., 2000.
31. R. Herbrich, T. Graepel, and K. Obermayer, "Large margin rank boundaries for ordinal regression," in Proc. Advances in Large Margin Classifiers, 2000, pp. 115-132.
32. A. F. Smeaton, P. Over, and W. Kraaij, "Evaluation campaigns and TRECVID," in Proc. ACM Int. Workshop Multimedia Information Retrieval, 2006, pp. 321-330. (Pubitemid 47168230)
33. TRECVID, Trecvid Video Retrieval Evaluation. [Online]. Available: hppt://www-nlpir.nist.gov/projects/trecvid/.
34. S. E. Robertson, S. Walker, M. Hancock-Beaulieu, M. Gatford, and A. Payne, Simple, Proven Approaches to Text Retrieval, Cambridge Univ. Computer Laboratory Tech. Rep. TR356, 1997.
35. W.-Y. Ma and H. J. Zhang, "Benchmarking of image features for content- based retrieval," in Conf. Record 32nd Asilomar Conf. Signals, Systems & Computers, 1998, pp. 253-257.
36. K. Järvelin and J. Kekäläinen, "IR evaluation methods for retrieving highly relevant documents," in Proc. ACM Special Interest Group on Information Retrieval, 2000, pp. 41-48.