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Academic Press Library in Signal Processing by Sergios Theodoridis

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Chapter 20

Compressive Sensing for Video Applications

Ashok Veeraraghavan, Aswin C. Sankaranarayanan and Richard G. Baraniuk,    Department of ECE, Rice University, Houston, TX, USA,    vashok@rice.edu, saswin@rice.edu, richb@rice.edu

Abstract

We are on the throes of a “data crisis.” We are building sensors of increasing capabilities—be it of resolution, frame rate or dimensionality. Simultaneously, large scale deployment of such sensors are being increasingly common. Traditional models for sensors do not extend easily to such scenarios. This is especially relevant in the context of high speed imaging and multi-spectral imaging where traditional sensing models produce overly complicated and costly designs. We need a scalable theory of sensing; ...

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