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

نویسندگان

  • Ying Liu
  • Dimitris A. Pados
چکیده

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.

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تاریخ انتشار 2013