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Green Image
Issue No. 11 - Nov. (2012 vol. 18)
ISSN: 1077-2626
pp: 1868-1879
K. Sunkavalli , Sch. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA
N. Joshi , Microsoft Res., Redmond, WA, USA
Sing Bing Kang , Microsoft Res., Redmond, WA, USA
M. F. Cohen , Microsoft Res., Redmond, WA, USA
H. Pfister , Sch. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA
We describe a unified framework for generating a single high-quality still image ("snapshot”) from a short video clip. Our system allows the user to specify the desired operations for creating the output image, such as super resolution, noise and blur reduction, and selection of best focus. It also provides a visual summary of activity in the video by incorporating saliency-based objectives in the snapshot formation process. We show examples on a number of different video clips to illustrate the utility and flexibility of our system.
video signal processing, image enhancement, image fusion, image resolution, snapshot formation process, video snapshots, high-quality images, single high-quality still image generating, short video clip, output image, activity visual summary, saliency-based objectives incorporation, Spatial resolution, Cameras, Noise, Noise reduction, Image fusion, Image restoration, photomontage, Image fusion, image enhancement, super resolution, sharpening, deblurring, saliency

M. F. Cohen, H. Pfister, N. Joshi, Sing Bing Kang and K. Sunkavalli, "Video Snapshots: Creating High-Quality Images from Video Clips," in IEEE Transactions on Visualization & Computer Graphics, vol. 18, no. , pp. 1868-1879, 2012.
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