Image annotation using bi-relational graph of images and semantic labels

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2011, Pages 793-800

  Wang, Hua ^a   Huang, Heng ^a   Ding, Chris ^a  

^a The University of Texas at Arlington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); GRAPHIC METHODS; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE RETRIEVAL; PATTERN RECOGNITION; SEMANTICS; SUPERVISED LEARNING;

CAUSAL RELATIONSHIPS; CLASS RELATIONSHIP; GRAPH-BASED METHODS; LABEL CORRELATIONS; LABEL PREDICTIONS; MULTI LABEL CLASSIFICATION; SEMANTIC IMAGE RETRIEVAL; SEMI- SUPERVISED LEARNING;

IMAGE ANNOTATION;

EID: 80052893001     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995379     Document Type: Conference Paper

References (20)

1. M. Boutell, J. Luo, X. Shen, and C. Brown. Learning multilabel scene classification. Pattern Recognition, 37(9):1757-1771, 2004.
2. S. Brin and L. Page. The anatomy of a large-scale hypertextual web search engine. In WWW, 1998.
3. G. Chen, Y. Song, F. Wang, and C. Zhang. Semi-supervised multi-label learning by solving a sylvester equation. In SDM, 2008.
4. S. Ji, L. Tang, S. Yu, and J. Ye. A shared-subspace learning framework for multi-label classification. TKDD, 4(2):1-29, 2010.
5. F. Kang, R. Jin, and R. Sukthankar. Correlated label propagation with application to multi-label learning. In CVPR, 2006.
6. Y. Liu, R. Jin, and L. Yang. Semi-supervised multi-label learning by constrained non-negative matrix factorization. In AAAI, 2006.
7. G. Qi, X. Hua, Y. Rui, J. Tang, T. Mei, and H. Zhang. Correlative multi-label video annotation. In ACM MM, 2007.
8. H. Tong, C. Faloutsos, and J. Pan. Fast random walk with restart and its applications. In ICDM, 2006.
9. G. Tsoumakas, A. Dimou, E. Spyromitros, V. Mezaris, I. Kompatsiaris, and I. Vlahavas. Correlation-based pruning of stacked binary relevance models for multi-label learning. In MLD Workshop of ECML PKDD, 2009.
10. G. Tsoumakas, I. Katakis, and I. Vlahavas. Random k-Labelsets for Multi-Label Classification. TKDE, 2010.
11. H. Wang, C. Ding, and H. Huang. Directed graph learning via high-order co-linkage analysis. In ECML/PKDD, 2010.
12. H. Wang, C. Ding, and H. Huang. Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor. In AAAI, 2010.
13. H. Wang, C. Ding, and H. Huang. Multi-label linear discriminant analysis. ECCV, pages 126-139, 2010.
14. H. Wang, H. Huang, and C. Ding. Image annotation using multi-label correlated Green's function. In ICCV, 2009.
15. H. Wang, H. Huang, and C. Ding. Discriminant Laplacian Embedding. In AAAI, 2010.
16. H. Wang, H. Huang, and C. Ding. Image categorization using directed graphs. In ECCV, 2010.
17. H. Wang, H. Huang, and C. Ding. Multi-label Feature Transform for Image Classifications. In ECCV, 2010.
18. K. Yu, S. Yu, and V. Tresp. Multi-label informed latent semantic indexing. In SIGIR, 2005.
19. Z. Zha, T. Mei, J. Wang, Z. Wang, and X. Hua. Graph-based semi-supervised learning with multi-label. In ICME, 2008.
20. S. Zhu, X. Ji, W. Xu, and Y. Gong. Multi-labelled classification using maximum entropy method. In SIGIR, 2005.