Boosting web video categorization with contextual information from social web

World Wide Web

Volumn 15, Issue 2, 2012, Pages 197-212

  Wu, Xiao ^a   Ngo, Chong Wah ^b   Zhu, Yi Ming ^a   Peng, Qiang ^a  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

categorization; context information; data driven; query expansion; social web; web video

Indexed keywords

CATEGORIZATION; CONTEXT INFORMATION; DATA-DRIVEN; QUERY EXPANSION; SOCIAL WEB; WEB VIDEO;

CLASSIFICATION (OF INFORMATION); EXPANSION; MULTIMEDIA SYSTEMS; SEMANTICS; TEXT PROCESSING; WORLD WIDE WEB;

SEMANTIC WEB;

EID: 84856356333     PISSN: 1386145X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11280-011-0129-1     Document Type: Article

References (29)

1. Billerbeck, B., Scholer, F., Williams, H. E. E., Zobel, J. Query Expansion using Associated Queries. ACM CIKM, New Orleans, USA, pp. 2-9 (2003).
2. Brezeale, D., Cook, D. J.: Automatic video classification: A survey of the literature. IEEE Trans. Syst. Man Cybern. 38(3), 416-430 (2008).
3. Broder, A., Ciccolo, P., Gabrilovich, E., et al.: Online Expansion of Rare Queries for Sponsored Search, pp. 511-518. WWW, Madrid (2009).
4. Cao, G., Nie, J.-Y., Gao, J., Robertson, S.: Selecting good expansion terms for pseudo-relevance feedback, pp. 243-250. ACM SIGIR, Singapore (2008).
5. Cao, J., Zhang, Y.-D., Song, Y.-C.,et al., MCG-WEBV: A Benchmark Dataset for Web Video Analysis. Technical Report, ICT-MCG-09-001, 2009. Available at: http://mcg. ict. ac. cn/chengguo1. html.
6. Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines, 2001. Available at: http://www. csie. ntu. edu. tw/~cjlin/libsvm.
7. Chrita, P.-A., Firan, C. S., Nejdl, W.: Personalized query expansion for the web. ACM SIGIR (2007).
8. Cilibrasi, R. L., Vitanyi, P. M. B.: The google similarity distance. IEEE Trans TKDE 19(3), 370-383 (2007).
9. Cui, H., Wen, J.-R., Nie, J.-Y., Ma, W.-Y.: Query Expansion by Mining User Logs. IEEE Trans TKDE 15(4), 829-839 (2003).
10. Jiang, Y.-G., Ngo, C.-W., Yang, J.: Towards optimal bag-of-features for object categorization and semantic video retrieval. ACM CIVR, pp. 494-501 (2007).
11. Lavrenko, V., Croft, W. B.: Relevance-based language models. ACM SIGIR, pp. 120-127 (2001).
12. Lowe, D.: Distinctive image features from scale-invariant key points. IJCV 60, 91-110 (2004).
13. Moxley, E., Mei, T., Manjunath, B. S.: Video annotation through search and graph reinforcement mining. IEEE. Trans. on Multimedia (2009).
14. Natsev, A., Haubold, A., Tesic, J., Xie, L., Yan, R.: Semantic concept-based query expansion and re-ranking for multimedia retrieval. ACM MM, pp. 991-1000 (2007).
15. Qi, G.-J., Hua, X.-S., et al.: Correlative multi-label video annotation, pp. 17-26. ACM MM, Germany (2007).
16. Rahman, M. M., Bhattacharya, P.: Image retrieval with automatic query expansion based on local analysis in a semantical concept feature space. CIVR, Greece (2009).
17. Ramachandran, C., Malik, R., Jin, X., Gao, J.: VideoMule: A consensus learning approach to multi-label classification from noisy user-generated videos, pp. 721-724. ACM MM, Beijing (2009).
18. Rocchio, J.: Relevance feedback in information retrieval. In The SMART Retrieval System: Experiments in Automatic Document Processing, pp. 313-323 (1971).
19. Rui, Y., Huang, T. S., Ortega, M., Mehrotra, S.: Relevance feedback: A power tool in interactive content-based image retrieval. IEEE Trans CSVT 8(5), 644-655 (1998).
20. Shokouhi, M., Azzopardi, L., Thomas, P.: Effective query expansion for federated search, pp. 427-434. ACM SIGIR, Boston (2009).
21. Siersdorfer, S., Pedro, J. S., Sanderson, M.: Automatic video tagging using content redundancy. ACM SIGIR'09, pp. 395-402.
22. Torralba, A., Fergus, R., Freeman, W. T.: 80 million tiny images: A large data set for nonparametric object and scene recognition. IEEE Trans PAMI 30(11), 1958-1970 (2008).
23. Wang, X., Fang, H., Zhai, C. A Study of Methods for Negative Relevance Feedback. SIGIR'08, pp. 219-226.
24. Wang, X.-J., Zhang, L., Li, X., Ma, W.-Y.: Annotating Images by Mining Image Search Results. IEEE Trans PAMI 30(11), 1919-1932 (2008).
25. Xu, J., Croft, B.: Query Expansion Using Local and Global Document Analysis. ACM SIGIR, 2006, pp. 4-11.
26. Yan, R., Hauptmann, A. G., Jin, R. Negative Pseudo-relevance Feedback in Content-based Video Retrieval. ACM MM, pp. 343-346, (2003).
27. Yang, L., Liu, J., Yang, X., Hua, X.-S. Multi-Modality Web Video Categorization. MIR'07, pp. 265-274.
28. Yuan, X., Lai, W., Mei, T., Hua, X.-S., Wu, X.-Q.: Automatic Video Genre Categorization using Hierarchical SVM. ICIP, Atlanta (2006).
29. Zhai, C., Lafferty, J. D. Model-based Feedback in The Language Modeling Approach to Information Retrieval. ACM CIKM, pp. 403-410, (2001).