Automatic Video Summarization Using the Optimum-Path Forest Unsupervised Classifier-Reference-Cited by-同舟云学术

Automatic Video Summarization Using the Optimum-Path Forest Unsupervised Classifier

Published:2015 Issue: Volume: Page:760-767
ISSN:0302-9743
Container-title:Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
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Author:

Castelo-Fernández César,Calderón-Ruiz Guillermo

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-25751-8_91

Reference9 articles.

1. Castelo-Fernández, C.: Content-based video retrieval through wavelets and clustering. In: Proceedings of the IV Workshop de Visão Computacional, Bauru, São Paulo, Brasil. UNESP (2008)

2. Chen, L.H., Su, C.W., Mark Liao, H.Y., Shih, C.C.: On the preview of digital movies. Journal of Visual Communication and Image Representation (2003)

3. Ejaz, N.: Tayyab Bin Tariq, and Sung Wook Baik. Adaptive key frame extraction for video summarization using an aggregation mechanism. Journal of Visual Communication and Image Representation 23(7), 1031–1040 (2012)

4. Jadhav, P.S., Jadhav, D.S.: Video summarization using higher order color moments (vsuhcm). Procedia Computer Science 45, 275–281 (2015). International Conference on Advanced Computing Technologies and Applications (ICACTA)

5. Pfeiffer, S., Lienhart, R., Fischer, S., Effelsberg, W.: Abstracting digital movies automatically. Journal of Visual Communication and Image Representation 7(4), 345–353 (1996)

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