Practical distributed video coding over visual sensors

  • Authors:
  • Rami Halloush;Kiran Misra;Hayder Radha

  • Affiliations:
  • Department of Electrical and Computer Engineering, Michigan State University;Department of Electrical and Computer Engineering, Michigan State University;Department of Electrical and Computer Engineering, Michigan State University

  • Venue:
  • PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
  • Year:
  • 2009

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Abstract

In this paper we describe a practical implementation of a distributed video codec deployed on a real visual sensor platform, viz. the MicaZ/Cyclops platform. The codec supports two encoding schemes, one employs Discrete Cosine Transform (DCT) and the other operates on raw pixels. DCT scheme is more costly in terms of computational power consumption, on the other hand it leads to more compression and hence less transmission power consumption. At the same time the DCT scheme may not necessarily achieve minimal overall power consumption (computation and transmission). In this paper we show that the choice of either scheme (DCT or pixel based) depends on the tolerable distortion and power consumption. Results show that for a range of achievable video quality values the DCT scheme demonstrates less overall power consumption. On the other hand for another range of video quality the pixel scheme results in less overall power consumption.