Efficient disparity vector prediction schemes with modified P frame for 2D camera arrays

  • Authors:

  • Aykut Avci;Jan De Cock;Peter Lambert;Roel Beernaert;Jelle De Smet;Lawrence Bogaert;Youri Meuret;Hugo Thienpont;Herbert De Smet

  • Affiliations:

  • Ghent University, Centre for Microsystems Technology, Department of Electronics and Information Systems, Technologiepark 914, B-9052 Ghent, Belgium;Ghent University - IBBT, Department of Electronics and Information Systems, Multimedia Lab, Gaston Crommenlaan 8 bus 201, B-9050 Ledeberg-Ghent, Belgium;Ghent University - IBBT, Department of Electronics and Information Systems, Multimedia Lab, Gaston Crommenlaan 8 bus 201, B-9050 Ledeberg-Ghent, Belgium;Ghent University, Centre for Microsystems Technology, Department of Electronics and Information Systems, Technologiepark 914, B-9052 Ghent, Belgium;Ghent University, Centre for Microsystems Technology, Department of Electronics and Information Systems, Technologiepark 914, B-9052 Ghent, Belgium;Vrije Universiteit Brussel, Brussels Photonics Team, Pleinlaan 2, B-1050 Brussels, Belgium;Vrije Universiteit Brussel, Brussels Photonics Team, Pleinlaan 2, B-1050 Brussels, Belgium;Vrije Universiteit Brussel, Brussels Photonics Team, Pleinlaan 2, B-1050 Brussels, Belgium;Ghent University, Centre for Microsystems Technology, Department of Electronics and Information Systems, Technologiepark 914, B-9052 Ghent, Belgium and IMEC, Centre for Microsystems Technology, Te ...

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 2012

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Abstract

An efficient disparity estimation algorithm for multi-view video sequences, recorded by a two-dimensional camera array in which the cameras are spaced equidistantly, is presented. Because of the strong geometrical relationship among views, the disparity vectors of a certain view can for most blocks be derived from the disparity vectors of other views. A frame constructed using that idea is called a D frame in this work. Three new prediction schemes which contain D frames are proposed for encoding 5x3 multi-view video sequences. The schemes are applied to several multi-view image sequences taken from a camera-array and they are compared in terms of quality, bit-rate and complexity. The experimental results show that the proposed prediction schemes significantly decrease the complexity of the encoder at a very low cost of quality and/or bit-rate.