Video Snapshots: Creating High-Quality Images from Video Clips
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Updated: May 24, 2026

In Vivo Functional Brain Imaging Approach Based on Bioluminescent Calcium Indicator GFP-aequorin
Published on: January 8, 2016
Kalyan Sunkavalli1, Neel Joshi, Sing Bing Kang
1School of Engineering and Applied Sciences, Harvard University, 33 Oxford St., Cambridge, MA 02138, USA. kalyans@eecs.harvard.edu
Abstract:
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.
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