Publications/fabrizio.12.spic

Authors

Jonathan Fabrizio, Séverine Dubuisson, Dominique Béréziat

Journal

Signal Processing: Image Communication

Type

article

Publisher

Elsevier

Projects

Image"Image" is not in the list (Vaucanson, Spot, URBI, Olena, APMC, Tiger, Climb, Speaker ID, Transformers, Bison, ...) of allowed values for the "Related project" property.

Keywords

Image

Date

2012-02-09

Abstract

We present a new algorithm for motion compensation that uses a motion estimation method based on tangent distance. The method is compared with a Block-Matching based approach in various common situations. Whereas Block-Matching algorithms usually only predict positions of blocks over time, our method also predicts the evolution of pixels into these blocks. The prediction error is then drastically decreased. The method is implemented into the Theora codec proving that this algorithm improves the video codec performances.

Bibtex (lrde.bib)

@Article{	  fabrizio.12.spic,
  author	= {Jonathan Fabrizio and S\'everine Dubuisson and Dominique
		  B\'er\'eziat},
  title		= {Motion compensation based on Tangent Distance prediction
		  for video compression},
  journal	= {Signal Processing: Image Communication},
  year		= 2012,
  volume	= 27,
  number	= 2,
  publisher	= {Elsevier},
  pages		= {113--208},
  month		= feb,
  abstract	= { We present a new algorithm for motion compensation that
		  uses a motion estimation method based on tangent distance.
		  The method is compared with a Block-Matching based approach
		  in various common situations. Whereas Block-Matching
		  algorithms usually only predict positions of blocks over
		  time, our method also predicts the evolution of pixels into
		  these blocks. The prediction error is then drastically
		  decreased. The method is implemented into the Theora codec
		  proving that this algorithm improves the video codec
		  performances. }
}