Harvesting large-scale weakly-tagged image databases from the web

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

Volumn , Issue , 2010, Pages 802-809

  Fan, Jianping ^a   Shen, Yi ^a   Zhou, Ning ^a   Gao, Yuli ^b  

^a University of North Carolina at Charlotte   (United States)

^b HEWLETT PACKARD LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIER TRAINING; CROSS-MODAL; IMAGE DATABASE; IMAGE FILTERING ALGORITHMS; OBJECT DETECTION; SCENE RECOGNITION; SEMANTIC SIMILARITY; TRAINING IMAGE; VISUAL SIMILARITY;

HARVESTING; SEMANTICS;

COMPUTER VISION;

EID: 77956002586     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5540135     Document Type: Conference Paper

References (15)

1. 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. on PAMI, 2000.
2. J. Fan, C. Yang, Y. Shen, N. Babaguchi, H. Luo, "Leveraging large-scale weakly-tagged images to train inter-related classifiers for multi-label annotation", Proc. of first ACMworkshop on Large-scale multimedia retrieval and mining, 2009.
3. Flickr, http://www.flickr.com.
4. R. Fergus, P. Perona, A. Zisserman, "A visual category filter for Google Images", ECCV, 2004.
5. T. Berg, D. Forthy, "Animals on the Web", IEEE CVPR, 2006.
6. L. Li, G. Wang, L. Fei-Fei, "OPTIMOL: automatic online picture collection via incremental model learning", IEEE CVPR 2007.
7. F. Schroff, A. Criminisi, A. Zisserman, "Harvesting image databases from the web", IEEE ICCV, 2007.
8. B.C. Russell, A. Torralba, R. Fergus, W.T. Freeman, "80 million tiny images: a large dataset for non-parametric object and scene recognition", IEEE Trans. on PAMI, vol.30, no.11, 2008.
9. K. Barnard, M. Johnson, "Word sense disambiguation with pictures", Artificial Intelligence, vol. 167, pp. 13-30, 2005.
10. J. Yuan, Y. Wu, M. Yang, "Discovery of collocation patterns: from visual words to visual phrases", IEEE CVPR, 2007.
11. C. Ding, X. He, H. Zha, M. Gu, H. Simon, "A Min-max Cut Algorithm for Graph Partitioning and Data Clustering", ICDM, 2001.
12. J Shi, J Malik, "Normalized cuts and image segmentation", IEEE Trans. on PAMI, 2000.
13. J. Zhang, M. Marszalek, S. Lazebnik, C. Schmid, "Local features and kernels for classification of texture and object catetories: A comprehensive study", Intl. Journal of Computer Vision, vol.73, no.2, 2007.
14. J. Fan, Y. Gao, H. Luo, ""Integrating concept ontology and multi-task learning to achieve more effective classifier training for multi-level image annotation", IEEE Trans. on Image Processing, vol. 17, no.3, pp.407-426, 2008.
15. W. Hsu, L. Kennedy, S.F. Chang, "Video search reranking through random walk over document-level context graph", ACM Multimedia, 2007.