A Motion-Driven Approach for Fine-Grained Temporal Segmentation of User-Generated Videos-Reference-Cited by-同舟云学术

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A Motion-Driven Approach for Fine-Grained Temporal Segmentation of User-Generated Videos

Published:2018 Issue: Volume: Page:29-41
ISSN:0302-9743
Container-title:MultiMedia Modeling
language:
Short-container-title:

Author:

Apostolidis Konstantinos,Apostolidis Evlampios,Mezaris Vasileios

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-73603-7_3

Reference30 articles.

1. Abdollahian, G., et al.: Camera motion-based analysis of user generated video. IEEE Trans. Multimed. 12(1), 28–41 (2010)

2. Apostolidis, E., et al.: Fast shot segmentation combining global and local visual descriptors. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 6583–6587 (2014). http://mklab.iti.gr/project/video-shot-segm

3. Bai, L., et al.: Automatic summarization of rushes video using bipartite graphs. Multimed. Tools Appl. 49(1), 63–80 (2010)

4. Bay, H., et al.: Surf: speeded up robust features. In: Proceedings of the 9th European Conference on Computer Vision, pp. 404–417 (2006)

5. Benois-Pineau, J., Lovell, B.C., Andrews, R.J.: Motion estimation in colour image sequences. In: Fernandez-Maloigne, C. (ed.) Advanced Color Image Processing and Analysis, pp. 377–395. Springer, New York (2013). https://doi.org/10.1007/978-1-4419-6190-7_11

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