Paper
8 June 2012 Decoding of purely compressed-sensed video
Author Affiliations +
Abstract
We consider a video acquisition system where motion imagery is captured only by direct compressive sampling (CS) without any other form of intelligent encoding/processing. In this context, the burden of quality video sequence reconstruction falls solely on the decoder/player side. We describe a video CS decoding method that implicitly incorporates motion estimation via sliding-window sparsity-aware recovery from locally estimated Karhunen-Loeve bases. Experiments presented herein illustrate and support these developments.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ying Liu, Ming Li, and Dimitris A. Pados "Decoding of purely compressed-sensed video", Proc. SPIE 8365, Compressive Sensing, 83650L (8 June 2012); https://doi.org/10.1117/12.920320
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Cited by 1 scholarly publication.
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KEYWORDS
Video

Video compression

Reconstruction algorithms

Motion estimation

Video coding

Fourier transforms

Compressed sensing

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