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

Ying Liu; Dimitris A. Pados

doi:10.1117/12.2017751

31 May 2013 Rate-adaptive compressive video acquisition with sliding-window total-variation-minimization reconstruction

Ying Liu, Dimitris A. Pados

Proceedings Volume 8717, Compressive Sensing II; 871703 (2013) https://doi.org/10.1117/12.2017751
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

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.

Citation Download Citation

Ying Liu and Dimitris A. Pados "Rate-adaptive compressive video acquisition with sliding-window total-variation-minimization reconstruction", Proc. SPIE 8717, Compressive Sensing II, 871703 (31 May 2013); https://doi.org/10.1117/12.2017751

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