Discovering thematic patterns in videos via cohesive sub-graph mining

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2011, Pages 1260-1265

  Zhao, Gangqiang ^a   Yuan, Junsong ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Cohesive subgraph; Mining; Thematic pattern; Unsupervised

Indexed keywords

AUTOMATIC DISCOVERY; BRANCH AND BOUNDS; CRITICAL ISSUES; DYNAMIC BACKGROUND; LIGHTING CONDITIONS; MUTUAL INFORMATIONS; PARTIAL OCCLUSIONS; PATTERN DISCOVERY; SELECTION PROBLEMS; SPATIO-TEMPORAL; SUBGRAPHS; THEMATIC PATTERN; UNSUPERVISED; VIDEO CONTENTS; VISUAL WORD;

MINING;

DATA MINING;

EID: 84857170942     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2011.55     Document Type: Conference Paper

References (16)

1. C. Chen and O. L. Mangasarian. A class of smoothing functions for nonlinear and mixed complementarity problems. Comput. Optim. Appl., 5:97-138, March 1996.
2. L. Du, W. L. Buntine, and H. Jin. Sequential latent dirichlet allocation: Discover underlying topic structures within a document. In ICDM10, pages 148-157. IEEE Computer Society, 2010.
3. J. Han, H. Cheng, D. Xin, and X. Yan. Frequent pattern mining: current status and future directions. In Data Mining and Knowledge Discovery, 2007.
4. K. Heath, N. Gelfand, M. Ovsjanikov, M. Aanjaneya, and L. J. Guibas. Imagewebs: Computing and exploiting connectivity in image collections. In CVPR, 2010.
5. I. Laptev. On space-time interest points. IJCV, 2005.
6. D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 2004.
7. M. Pavan and M. Pelillo. Dominant sets and pairwise clustering. TPAMI, 29:167-172, January 2007.
8. M. D. Rodriguez, J. Ahmed, and M. Shah. Action MACH a spatio-temporal maximum average correlation height filter for action recognition. In CVPR, 2008.
9. B. C. Russell, A. A. Efros, J. Sivic, W. T. Freeman, and A. Zisserman. Using multiple segmentation to discover objects and their extent in image collections. In CVPR, 2006.
10. M.-K. Shan and L.-Y. Wei. Algorithms for discovery of spatial co-orientation patterns from images. Expert Syst. Appl., 37:5795-5802, August 2010.
11. S. Todorovic and N. Ahuja. Unsupervised category modeling, recognition, and segmentation in images. TPAMI, 2008.
12. Y. Xie and P. S. Yu. Max-clique: A top-down graph-based approach to frequent pattern mining. In ICDM10, pages 1139-1144. IEEE Computer Society, 2010.
13. J. Yuan, Z. Liu, and Y. Wu. Discriminative video pattern search for efficient action detection. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2011.
14. J. Yuan, Y. Wu, and M. Yang. From frequent itemsets to semantically meaningful visual patterns. ACM SIGKDD, 2007.
15. G. Zhao and J. Yuan. Mining and cropping common objects from images. In Proc. ACM Multimedia, pages 975-978, 2010.
16. G. Zhao, J. Yuan, J. Xu, and Y. Wu. Discovering the thematic object in commercial videos. IEEE MultiMedia Magazine, 18(3):56-65, 2011.