Multi-view distributed source coding of binary features for visual sensor networks

  title={Multi-view distributed source coding of binary features for visual sensor networks},
  author={Nuno Monteiro and Catarina Brites and Fernando da Cruz Pereira and Jo{\~a}o Ascenso},
  journal={2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
Visual analysis algorithms have been mostly developed for a centralized scenario where all visual data is acquired and processed at a central location. However, in visual sensor networks (VSN), several constraints in computational power, energy and bandwidth require a radically different approach, notably a paradigm shift from centralized to distributed visual processing. In the new paradigm, visual data is acquired and features are extracted at the sensing nodes locations to be after… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 22 references

The Oxford Buildings Dataset,

  • J. Philbin, R. Arandjelovic, A. Zisserman
  • 2015
1 Excerpt

The Paris Dataset,

  • J. Philbin, A. Zisserman
  • 2015
2 Excerpts

Evaluation of visual feature detectors and descriptors for low-complexity devices

  • A. Canclini, R. Cilla, A. Redondi, J. Ascenso, M. Cesana, M. Tagliasacchi
  • IEEE/EURASIP Digital Signal Processing Conference…
  • 2013
1 Excerpt

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