Fast visual saliency map extraction from digital video
Shilin Xu, Weisi Lin, C.‐C. Jay Kuo · 2009
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.