DocumentCode :
1711755
Title :
Fast visual saliency map extraction from digital video
Author :
Xu, Shilin ; Lin, Weisi ; Kuo, C. C Jay
Author_Institution :
Huazhong Univ. of Sci. & Technol., Wuhan
fYear :
2009
Firstpage :
1
Lastpage :
2
Abstract :
A fast algorithm to extract the visual saliency map from digital video is proposed in this research. Since digital video is stored and/or transmitted in coded form, we utilize the motion vector field (MVF) for foreground/background separation and apply an image based contrast model for further performance improvement. The performance of the proposed algorithm is demonstrated by experimental results.
Keywords :
feature extraction; image motion analysis; video signal processing; digital video; fast visual saliency map extraction; image based contrast model; motion vector field;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, 2009. ICCE '09. Digest of Technical Papers International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-4701-5
Electronic_ISBN :
978-1-4244-2559-4
Type :
conf
DOI :
10.1109/ICCE.2009.5012298
Filename :
5012298
Link To Document :
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