MILC2: A multi-layer multi-instance learning approach to video concept detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4903 LNCS, Issue , 2008, Pages 24-34

  Gu, Zhiwei ^a   Mei, Tao ^b   Tang, Jinhui ^a   Wu, Xiuqing ^a   Hua, Xian Sheng ^b  

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

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES; EMBEDDED SYSTEMS; INFORMATION ANALYSIS; PROBLEM SOLVING;

CLASSIFIER COMPLEXITY; PREDICTION ERROR;

LEARNING SYSTEMS;

EID: 38549114999     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77409-9_3     Document Type: Conference Paper

References (13)

1. TRECVID: TREC Video Retrieval Evaluation. http://www-nlpir.nist.gov/ projects/TRECVID
2. Chen, Y., Bi, J., Wang, J.Z.: MILES: Multiple-instance learning via embedded instance selection. IEEE Trans. on Pattern Analysis and Machine Intelligence 28(12), 1931-1947 (2006)
3. Cheung, P.-M., Kwok, J.T.: A regularization framework for multiple-instance learning. In: Proceedings of International Conference on Machine Learning, pp. 193-200. ACM Press, New York (2006)
4. Deng, Y., Manjunath, B.S.: Unsupervised segmentation of color-texture regions in images and video. IEEE Trans. on Pattern Analysis and Machine Intelligence 23(8), 800-810 (2001)
5. Gu, Z., Mei, T., Hua, X.-S., Tang, J., Wu, X.: Multi-layer multi-instance kernel for video concept detection. In: Proceedings of ACM Multimedia, Augsburg, Germany (September 2007)
6. Kwok, J., Cheung, P.-M.: Marginalized multi-instance kernels. In: Proceedings of International Joint Conference on Artificial Intelligence, Hyderabad, India, pp. 901-906 (January 2007)
7. Maron, O., Ratan, A.L.: Multiple-instance learning for natural scene classification. In: Proceedings of International Conference on Machine Learning, pp. 341-349. Morgan Kaufmann, San Francisco (1998)
8. Naphade, M., Smith, J.R., Tesic, J., Chang, S.-F., Hsu, W., Kennedy, L., Hauptmann, A., Curtis, J.: Large-scale concept ontology for multimedia. IEEE MultiMedia 13(3), 86-91 (2006)
9. Qi, G.-J., Hua, X.-S., Rui, Y., Tang, J., Mei, T., Zhang, H.-J.: Correlative multi-label video annotation. In: Proceedings of ACM Multimedia, Augsburg, Germany (September 2007)
10. Smola, A., Vishwanathan, S., Hofmann, T.: Kernel methods for missing variables. In: Proceedings of International Workshop on Artificial Intelligence and Statistics, Barbados (2005)
11. Gartner, T., Flach, P.A., Kowalczyk, A., Smola, A.J.: Multi-instance kernels. In: Proceedings of International Conference on Machine Learning, pp. 179-186. Morgan Kaufmann, San Francisco (2002)
12. Yan, R., Naphade, M.: Semi-supervised cross feature learning for semantic concept detection in video. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2005)
13. Smeaton, A.F., Over, P., Kraaij, W.: Evaluation Campaigns and TRECVID. In: Proceedings of ACM SIGMM International Workshop on Multimedia Information Retrieval (2006)