Video Shot Extraction on Parallel Architectures

Author(s):  
Pablo Toharia ◽  
Oscar D. Robles ◽  
José L. Bosque ◽  
Angel Rodríguez
1996 ◽  
Vol 26 (1) ◽  
pp. 143-150 ◽  
Author(s):  
Sashikanth Chandrasekaran ◽  
Mark D. Hill

2007 ◽  
Vol 10 (2) ◽  
pp. 115-126 ◽  
Author(s):  
Weirong Zhu ◽  
Yanwei Niu ◽  
Guang R. Gao

Author(s):  
XIAN WU ◽  
JIANHUANG LAI ◽  
PONG C. YUEN

This paper proposes a novel approach for video-shot transition detection using spatio-temporal saliency. Both temporal and spatial information are combined to generate a saliency map, and features are available based on the change of saliency. Considering the context of shot changes, a statistical detector is constructed to determine all types of shot transitions by the minimization of the detection-error probability simultaneously under the same framework. The evaluation performed on videos of various content types demonstrates that the proposed approach outperforms a more recent method and two publicly available systems, namely VideoAnnex and VCM.


Author(s):  
Neigel Marx ◽  
John Cardozo ◽  
Loic Boulon ◽  
Frederic Gustin ◽  
Daniel Hissel ◽  
...  

2014 ◽  
Vol 30 (8) ◽  
pp. 1177-1179 ◽  
Author(s):  
L. Cebamanos ◽  
A. Gray ◽  
I. Stewart ◽  
A. Tenesa

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