Research Projects

Abstract: Video cameras are invariably bandwidth limited and this results in a trade-off between spatial and temporal resolution.In this paper, we show that a simple coded exposure modulation is sufficient to reconstruct high speed videos. We propose the Flutter Shutter Video Camera (FSVC) in which each exposure of the sensor is temporally coded using an independent pseudo-random sequence. Such exposure coding is easily achieved in modern sensors and is already a feature of several machine vision cameras. We also develop two algorithms for reconstructing the high speed video; the first based on minimizing the total variation of the spatio-temporal slices of the video and the second based on a data driven dictionary based approximation. We perform evaluation on simulated videos and real data to illustrate the robustness of our system.

Paper Links:

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Citation:

Holloway, Jason, et al. "Flutter Shutter Video Camera for Compressive Sensing of Videos." Computational Photography (ICCP), 2012 IEEE International Conference on. IEEE, 2012.

[+] BibTex Citation

@inproceedings{holloway2012flutter,
title={{Flutter Shutter Video Camera for Compressive Sensing of Videos}},
author={Holloway, Jason and Sankaranarayanan, Aswin C and Veeraraghavan, Ashok and Tambe, Salil},
booktitle={Computational Photography (ICCP), 2012 IEEE International Conference on},
pages={1--9},
year={2012},
organization={IEEE}
}

Slides

Download the presenation accompaning this project as a PowerPoint slideshow [ppsx] without videos (15 MB) or a PowerPoint slideshow [ppsx] with videos (28 MB) or as a PDF (3.5 MB).