Measuring multi-modality similarities via subspace learning for cross-media retrieval

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

Volumn 4261 LNCS, Issue , 2006, Pages 979-988

  Zhang, Hong ^a   Weng, Jianguang ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Cross media retrieval; Heterogeneous; Multi modality correlation

Indexed keywords

LEARNING SYSTEMS; MULTIMEDIA SYSTEMS; OBJECT ORIENTED PROGRAMMING; PROBLEM SOLVING; QUERY LANGUAGES;

CROSS MEDIA RETRIEVAL; HETEROGENEOUS LOW LEVEL FEATURES; MULTI MODALITY CORRELATION; SEMANTIC SUBSPACE;

INFORMATION RETRIEVAL SYSTEMS;

EID: 33845259600     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11922162_111     Document Type: Conference Paper

References (14)

1. X. He, W.Y Ma, and H.J. Zhang, "Learning an Image Manifold for Retrieval", ACM Multimedia Conference, New York, 2004.
2. E. Chang, K. Goh, G. Sychay, and G. Wu, "CBSA: Content-Based Soft Annotation for Multimodal Image Retrieval Using Bayes Point Machine", IEEE Trans on Circuits and Systems for Video Technology, vol. 13, No.1, 2003.
3. Guodong Guo; Li, S.Z., "Content-based audio classification and retrieval by support vector machines", IEEE Transactions on Neural Networks, Volume 14, Issue 1, 2003, pp.209-215.
4. Jianping Fan, Elmagarmid, A.K., X.q. Zhu, Aref, W.G., Lide Wu, "ClassView: hierarchical video shot classification, indexing, and accessing", Multimedia, IEEE Transactions, Vol. 6, Issue 1, 2004, pp.70-86.
5. Meinard Müller, Tido Röder, Michael Clausen. "Efficient Content-Based Retrieval of Motion Capture Data". Proceedings of ACM SIGGRAPH 2005.
6. Fei Wu, Yi Yang, Yueting Zhuang, Yunhe Pan. "Understanding Multimedia Document Semantics for Cross-Media Retrieval", PCM 2005, pp.993-1004.
7. Yueting Zhuang, Fei Wu, Hong Zhang, Yi Yang. "Cross-Media Retrieval: Concepts, Advances and Challenges", 2006 International Symposium on Artificial Intelligence, Aug 1-3, 2006
8. th International Conference on Image Processing (ICIP) Atlanta, GA, USA 2006.
9. Chengcui Zhang, Xin Chen, Min Chen, Shu-Ching Chen, Mei-Ling Shyu. "A Multiple Instance Learning Approach for Content-based Image Retrieval Using One-class Support Vector Machine". IEEE International Conference on Multimedia & Expo, 2005. pp. 1142-1145.
10. Maron O, Ratan AL. "Multiple-Instance Learning for Natural Scene Classification". In: Koller D, Fratkina R, eds. Proceedings of the 15th International Conference on Machine Learning. 1998. pp.341-349.
11. Hardoon, D. R., Szedmak, S. and Shawe-Taylor, J., "Canonical correlation analysis; An overview with application to learning methods", Technical Report CSD-TR-03-02, Computer Science Department, University of London, 2003.
12. H.S. Seung, D. Lee, "The manifold ways of perception", Science, vol 290, 2000.
13. M. Belkin and P. Niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation", Advances in Neural Information Processing Systesms, 2001.
14. th IEEE Pacific-Rim Conference on Multimedia, 2002, pp.237-244.