Local feature trajectories for efficient event-based indexing of video sequences

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4071 LNCS, Issue , 2006, Pages 82-91

  Moënne Loccoz, Nicolas ^a   Bruno, Eric ^a   Marchand Maillet, Stéphane ^a  

^a UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; DATABASE SYSTEMS; FEATURE EXTRACTION; PROBLEM SOLVING;

FEATURE TRAJECTORIES; GENERIC CLASSES; SPATIO-TEMPORAL VOLUME; STATE OF THE ART METHODS;

INDEXING (OF INFORMATION);

EID: 33746582866     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11788034_9     Document Type: Conference Paper

References (20)

1. Aaron F. Bobick and James W. Davis. The recognition of human movement using temporal templates. IEEE Trans. Pattern Anal. Mach. Intell., 23(3):257-267, 2001.
2. Lars Bretzner and Tony Lindeberg. Feature tracking with automatic selection of spatial scales. Computer Vision and Image Understanding: CVIU, 71(3):385-392, 1998.
3. Éric Bruno, Nicolas Moënne-Loccoz, and Stéphane Marchand-Maillet. Unsupervised event discrimination based on nonlinear temporal modelling of activity. Pattern Analysis and Application (PAA), 7(4):402-410, december 2004.
4. Lei Chen, M. Tamer Özsu, and Vincent Oria. Using multi-scale histograms to answer pattern existence and shape match queries. In SSDBM, pages 217-226, 2005.
5. Olivier Chomat and James L. Crowley. Probabilistic recognition of activity using local appearance. In CVPR, pages 2104-2109, 1999.
6. G. Csurka, C. Dance, L. Fan, J. Williamowski, and C. Bray. Visual categorization with bags of keypoints. In Workshop on Statistical Learning in Computer Vision, 2004.
7. R. Fablet, P. Bouthemy, and P. Pérez. Non-parametric motion characterization using causal probabilistic models for video indexing and retrieval. IEEE Trans. on Image Processing, 11(4):393-407, April 2002.
8. H. W. Kuhn. The hungarian method for the assignment problem. Naval Research Logistics Quaterly, 2:83-97, 1955.
9. Ivan Laptev and Tony Lindeberg. Space-time interest points. In ICCV, pages 432-439, 2003.
10. Ivan Laptev and Tony Lindeberg. Velocity adaptation of space-time interest points. In ICPR (1), pages 52-56, 2004.
11. Ching-Yung Lin, Belle L. Tseng, and John R. Smith. Video collaborative annotation forum: Establishing ground-truth labels on large multimedia datasets. In Proceedings of the TRECVID 2003 Workshop, 2003.
12. David G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
13. Krystian Mikolajczyk and Cordelia Schmid. Scale and affine invariant interest point detectors. International Journal of Computer Vision, 60(1):63-86, 2004.
14. Nicolas Moënne-Loccoz, Eric Bruno, and Stéphane Marchand-Maillet. Video content representation as salient regions of activity. In Proceedings of the Third International Conference on Image and Video Retrieval, CIVR 8004, pages 384-392, Dublin, Ireland, July 2004.
15. Nicolas Moënne-Loccoz, Eric Bruno, and Stéphane Marchand-Maillet. Interactive partial matching of video sequences in large collections. In IEEE International Conference on Image Processing, Genova, Italy, 11-14 September 2005.
16. Christian Schüldt, Ivan Laptev, and Barbara Caputo. Recognizing human actions: A local svm approach. In ICPR (3), pages 32-36, 2004.
17. Jianbo Shi and Carlo Tomasi. Good features to track. In CVPR, Seattle, June 1994.
18. J. Sivic and A. Zisserman. Video Google: A text retrieval approach to object matching in videos. In ICCV, October 2003.
19. Alan F. Smeaton, Wessel Kraaij, and Paul Over. TRECVID 2003 - An Introduction. In Proceedings of the TRECVID 2003 Workshop, 2003.
20. Lihi Zelnik-Manor and Michal Irani. Event-based analysis of video. In CVPR (2), pages 123-130, 2001.