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Proceedings Paper

Rate-adaptive compressive video acquisition with sliding-window total-variation-minimization reconstruction
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Paper Abstract

We consider a compressive video acquisition system where frame blocks are sensed independently. Varying block sparsity is exploited in the form of individual per-block open-loop sampling rate allocation with minimal system overhead. At the decoder, video frames are reconstructed via sliding-window inter-frame total variation minimization. Experimental results demonstrate that such rate-adaptive compressive video acquisition improves noticeably the rate-distortion performance of the video stream over fixed-rate acquisition approaches.

Paper Details

Date Published: 31 May 2013
PDF: 13 pages
Proc. SPIE 8717, Compressive Sensing II, 871703 (31 May 2013); doi: 10.1117/12.2017751
Show Author Affiliations
Ying Liu, Univ. at Buffalo, SUNY (United States)
Dimitris A. Pados, Univ. at Buffalo, SUNY (United States)

Published in SPIE Proceedings Vol. 8717:
Compressive Sensing II
Fauzia Ahmad, Editor(s)

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