Progressively refined wyner-ziv video coding for visual sensors

  • Authors:

  • Nikos Deligiannis;Frederik Verbist;Jürgen Slowack;Rik van de Walle;Peter Schelkens;Adrian Munteanu

  • Affiliations:

  • Vrije Universiteit Brussel, Brussels, Belgium;Vrije Universiteit Brussel, Brussels, Belgium;Ghent University, Ghent, Belgium;Ghent University, Ghent, Belgium;Vrije Universiteit Brussel, Brussels, Belgium;Vrije Universiteit Brussel, Brussels, Belgium

  • Venue:
  • ACM Transactions on Sensor Networks (TOSN)
  • Year:
  • 2014

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Abstract

Wyner-Ziv video coding constitutes an alluring paradigm for visual sensor networks, offering efficient video compression with low complexity encoding characteristics. This work presents a novel hash-driven Wyner-Ziv video coding architecture for visual sensors, implementing the principles of successively refined Wyner-Ziv coding. To this end, so-called side-information refinement levels are constructed for a number of grouped frequency bands of the discrete cosine transform. The proposed codec creates side-information by means of an original overlapped block motion estimation and pixel-based multihypothesis prediction technique, specifically built around the pursued refinement strategy. The quality of the side-information generated at every refinement level is successively improved, leading to gradually enhanced Wyner-Ziv coding performance. Additionally, this work explores several temporal prediction structures, including a new hierarchical unidirectional prediction structure, providing both temporal scalability and low delay coding. Experimental results include a thorough evaluation of our novel Wyner-Ziv codec, assessing the impact of the proposed successive refinement scheme and the supported temporal prediction structures for a wide range of hash configurations and group of pictures sizes. The results report significant compression gains with respect to benchmark systems in Wyner-Ziv video coding (e.g., up to 42.03% over DISCOVER) as well as versus alternative state-of-the-art schemes refining the side-information.