Motion-based selection of relevant video segments for video summarisation

Proceedings - IEEE International Conference on Multimedia and Expo

Volumn 2, Issue , 2003, Pages II409-II412

  Peyrard, N ^a   Bouthemy, P ^a  

^a CAMPUS DE BEAULIEU   (France)

Author keywords

[No Author keywords available]

Indexed keywords

MAXIMUM LIKELIHOOD;

AFFINE MOTION MODELS; CLASSIFICATION ALGORITHM; MAXIMUM LIKELIHOOD PRINCIPLES; SEQUENTIAL SEGMENTATION; STATISTICAL REPRESENTATIONS; TEMPORAL VARIATION; VIDEO SEGMENTATION; VIDEO SUMMARISATION;

IMAGE SEGMENTATION;

EID: 33748525925     PISSN: 19457871     EISSN: 1945788X     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2003.1221640     Document Type: Conference Paper

References (5)

1. Y.-E Ma, Zhang H.-J., and M. Li, "A user attentionmodel for video summarization," in ACM Multimedia,Juan-les-Pins, December 2002.
2. J.S. Boreczky and L.A. Rowe, "Comparison of videoshot boundary detection techniques," in SPIE Con$ onStorage and Retrieval for Image and Video DatabasesIV, San Jose, January 1996, vol. 2670.
3. R. Fablet, P. Bouthemy, and P. Perez, "Non-parametricmotion characterization using causal probabilistic modelsfor video indexing and retrieval," IEEE Trans. onlmage Pmcessing, vol. I I, no. 4, pp. 393407,2002.
4. J-M. Odobez and P. Bouthemy, "Robust multiresolutionestimation of parametric motion models," J. of VisualComm. and Image Repr., vol. 6, no. 4, pp. 348-365,Dec. 1995.
5. M. Christel, M. Smith, C. Taylor, and D. Winkler, "Evolvingvideo skims into useful multimedia abstractions,"in ACM CH1'98 Con$ on Human Factors in ComputingSystems, Los Angeles, April 1998.