Motion-sketch based video retrieval using a trellis levenshtein distance

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 121-124

  Hu, Rui ^a   Collomosse, John ^a  

^a UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; FAST TECHNIQUES; KEYPOINTS; LEVENSHTEIN DISTANCE; VIDEO CLIPS; VIDEO CONTENTS; VIDEO RETRIEVAL; VITERBI;

DATA PROCESSING;

PATTERN RECOGNITION;

EID: 78149474952     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.38     Document Type: Conference Paper

References (20)

1. N. Anjum and A. Cavallaro. Multifeature object trajectory clustering for video analysis. IEEE Trans. on Circuits and Systems for Video, 18(11):1555-1564, 2008.
2. G. Antonini and J. P. Thiran. Counting pedestrians in video sequences using trajectory clustering. IEEE Tran. on Circuits and Systems for Video, 16(8):1008-1020, 2006.
3. F. I. Bashir, A. A. Khokhar, and D. Schonfeld. Real-time motion trajectory-based indexing and retrieval of video sequences. IEEE Trans. Multimedia, 9(1):58-65, Jan. 2007.
4. M. Bertini, A. Del Bimbo, and W. Nunziati. Video clip matching using mpeg-7 descriptors and edit distance. In CIVR, pages 133-142, July 2006.
5. C. M. Christoudias, B. Georgescu, and P. Meer. Synergism in low level vision. ICPR, 4:40150, 2002.
6. J. Collomosse, G. Mcneill, and Y. Qian. Storyboard sketches for content based video retrieval. In ICCV, 2009.
7. J. Collomosse, G. Mcneill, and L. Watts. Free-hand sketch grouping for video retrieval. In ICPR, 2008.
8. S. fu Chang, W. Chen, H. J. Meng, H. Sundaram, and D. Zhong. VideoQ: An automated content based video search system using visual cues. In ACM Multimedia, pages 313-324, 1997.
9. J. Hafner, H. S. Sawhney, W. Equitz, M. Flickner, and W. Niblack. Effcient color histogram indexing for quadratic distance. IEEE PAMI, 17(7):729-736, 1995.
10. J. Hsieh, S. Yu, and Y. Chen. Motion-based video retrieval by trajectory matching. IEEE Tran. on Circuits and Systems for Video, 16(3):396-409, 2006.
11. C. E. Jacobs, A. Finkelstein, and D. H. Salesin. Fast multi-resolution image querying. In Proc. ACM SIGGRAPH, pages 277-286, Aug. 1995.
12. M. Kass, A. Witkin, and D. Terzopoulos. Snakes: Active contour models. IJCV, V1(4):321-331, 1988.
13. V. I. Levenshtein. Binary codes capable of correcting deletions, insertions, and reversals. Technical Report 8, Soviet Physics Doklady, 1966.
14. D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60:91-110, 2004.
15. S. Roberts, D. Husmeier, R. Penny, and l. Rezek. Bayesian approaches to gaussian mixture modeling. IEEE Trans. on PAMI, 20(11):1133-1142, 1998.
16. C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: A local SVM approach. ICPR, 3:32-36, 2004.
17. E. D. Sciascio, G. Mingolla, and M. Mongiello. CBIR over the web using query by sketch and relevance feedback. In Proc. Intl.Conf. VISUAL, pages 123-130, June 1999.
18. J. Sivic and A. Zisserman. Video google: a text retrieval approach to object matching in videos. In ICCV, pages 2:1470-1477, 2003.
19. E. Tulving. Elements of episodic memory. Oxford Clarendon, 1983. ISBN: 0-198-521251.
20. H. Zhang, A. Kankanhalli, and S. W. Smoliar. Automatic partitioning of full-motion video. Multimedia Systems, 1(1):10-28, 1993.