Temporal video segmentation using global motion estimation and discrete curve evolution
Treetasanatavorn S, Heuer J, Rauschenbach U, Kaup A, Ilgner K (2004)
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2004
Book Volume: 1
Pages Range: 385-388
Event location: Singapore
ISBN: 0780385543
DOI: 10.1109/ICIP.2004.1418771
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.
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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. In Proceedings of the 2004 International Conference on Image Processing, ICIP 2004 (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.
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