Temporal video segmentation using global motion estimation and discrete curve evolution

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Treetasanatavorn S, Heuer J, Rauschenbach U, Kaup A, Ilgner K
Publication year: 2004
Volume: 1
Pages range: 385-388
ISBN: 0780385543


Abstract


The identification of syntactic or semantic temporal segments is an important process of video-content analysis. This paper proposes a temporal video segmentation method based on global motion in order to analyze meaningful temporal substructure of camera shots. To ensure that the detected segment optimally contributes to the shot global characteristic, the proposed method exploits a state-of-the-art discrete curve evolution. This technique leads to a subdivision of the global motion trajectory, where each segment of the subdivision has a constant relevant global motion. Experimental results based on standard test sequences acknowledge the method functionality especially for the shots characterized by pronounced camera motion. © 2004 IEEE.



FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Treetasanatavorn, S., Heuer, J., Rauschenbach, U., Kaup, A., & Ilgner, K. (2004). Temporal video segmentation using global motion estimation and discrete curve evolution. (pp. 385-388). Singapore, SG.

MLA:
Treetasanatavorn, Siripong, et al. "Temporal video segmentation using global motion estimation and discrete curve evolution." Proceedings of the 2004 International Conference on Image Processing, ICIP 2004, Singapore 2004. 385-388.

BibTeX: 

Last updated on 2018-24-12 at 20:50