VIREO@TRECVID 2012: Searching with topology, recounting will small concepts, learning with free examples

2012 TREC Video Retrieval Evaluation Notebook Papers

Volumn , Issue , 2012, Pages

  Zhang, Wei ^a   Tan, Chun Chet ^a   Zhu, Shi Ai ^a   Yao, Ting ^a   Pang, Lei ^a   Ngo, Chong Wah ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

EVALUATION RESULTS; MULTIMEDIA EVENT DETECTIONS; SEMANTIC INDEXING; TRECVID;

IMAGE RETRIEVAL;

EID: 84905233369     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. H. Jégou, M. Douze, and C. Schmid, "Hamming embedding and weak geometric consistency for large scale image search," in ECCV, 2008.
2. T. Yao, C.-W. Ngo, and S. A. Zhu, "Predicting domain adaptivity: Redo or recycle?" in ACM MM, 2012.
3. C.-W. Ngo, S. A. Zhu, W. Zhang, C.-C. Tan, T. Yao, L. Pang, and H.-K. Tan, "Vireo @ trecvid 2011: Instance search, semantic indexing, multimedia event detection and known-item search," in NIST TRECVID workshop, 2011.
4. S. A. Zhu, C.-W. Ngo, and Y.-G. Jiang, "Sampling and ontologically pooling web images for visual concept learning," IEEE Trans. on Multimedia, vol. 14, pp. 1068-1078, 2012.
5. J. Yang, R. Yan, and A. G. Hauptmann, "Cross-domain video concept detection using adaptive svms," in ACM MM, 2007.
6. J. Sivic and A. Zisserman, "Video Google: A text retrieval approach to object matching in videos," in ICCV, vol. 2, Oct. 2003, pp. 1470-1477.
7. D. Lowe, "Distinctive image features from scale-invariant keypoints," IJCV, vol. 60, no. 2, pp. 91-110, 2004.
8. J. Philbin, M. Isard, J. Sivic, and A. Zisserman, "Lost in quantization: Improving particular object retrieval in large scale image databases," in CVPR, 2008.
9. W. Zhang, L. Pang, and C.-W. Ngo, "Snap-and-ask: Answering multimodal question by naming visual instance," in ACM Multimedia, 2012.
10. C.-Z. Zhu and S. Satoh, "Large vocabulary quantization for searching instances from videos," in ICMR, 2012.
11. S. C. Doh, K. Seymore, S. Chen, S. Doh, M. Eskenazi, E. Gouva, B. Raj, M. Ravishankar, R. Rosenfeld, M. Siegler, R. Stern, and E. Thayer, "The 1997 cmu sphinx-3 english broadcast news transcription system," in In Proceedings of the 1998 DARPA Speech Recognition Workshop. DARPA, 1998, pp. 55-59.
12. A. Kay, "Tesseract: an open-source optical character recognition engine," Linux J., vol. 2007, no. 159, pp. 2-, Jul. 2007. [Online]. Available: http://dl.acm.org/citation.cfm?id=1288165.1288167
13. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," International Journal Computer Vision, vol. 60, pp. 91-110, 2004.
14. K. Mikolajczyk and C. Schmid, "Scale and affine invariant interest point detectors," International Journal of Computer Vision, vol. 60, no. 1, pp. 63-86, 2004.
15. I. Laptev, M. Marszałek, C. Schmid, and B. Rozenfeld, "Learning realistic human actions from movies," in IEEE Conference on Computer Vision and Pattern Recognition, 2008.
16. C. Fellbaum, "Wordnet: an electronic lexical database," The MIT Press, 1998.