Difference between revisions of "Publications/fabrizio.12.spic"

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{{Publication
 
{{Publication
| date = 2012-02-01
+
| published = true
  +
| date = 2012-02-09
 
| authors = Jonathan Fabrizio, Séverine Dubuisson, Dominique Béréziat
 
| authors = Jonathan Fabrizio, Séverine Dubuisson, Dominique Béréziat
 
| title = Motion compensation based on Tangent Distance prediction for video compression
 
| title = Motion compensation based on Tangent Distance prediction for video compression
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| publisher = Elsevier
 
| publisher = Elsevier
 
| pages = 113 to 208
 
| pages = 113 to 208
| urllrde = 201202-SPIC
 
 
| 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.
 
| 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.
 
| lrdekeywords = Image
 
| lrdekeywords = Image
  +
| lrdeprojects = Olena
  +
| lrdenewsdate = 2012-02-09
 
| type = article
 
| type = article
 
| id = fabrizio.12.spic
 
| id = fabrizio.12.spic
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for video compression<nowiki>}</nowiki>,
 
for video compression<nowiki>}</nowiki>,
 
journal = <nowiki>{</nowiki>Signal Processing: Image Communication<nowiki>}</nowiki>,
 
journal = <nowiki>{</nowiki>Signal Processing: Image Communication<nowiki>}</nowiki>,
year = <nowiki>{</nowiki>2012<nowiki>}</nowiki>,
+
year = 2012,
volume = <nowiki>{</nowiki>27<nowiki>}</nowiki>,
+
volume = 27,
number = <nowiki>{</nowiki>2<nowiki>}</nowiki>,
+
number = 2,
 
publisher = <nowiki>{</nowiki>Elsevier<nowiki>}</nowiki>,
 
publisher = <nowiki>{</nowiki>Elsevier<nowiki>}</nowiki>,
 
pages = <nowiki>{</nowiki>113--208<nowiki>}</nowiki>,
 
pages = <nowiki>{</nowiki>113--208<nowiki>}</nowiki>,
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decreased. The method is implemented into the Theora codec
 
decreased. The method is implemented into the Theora codec
 
proving that this algorithm improves the video codec
 
proving that this algorithm improves the video codec
performances. <nowiki>}</nowiki>,
+
performances. <nowiki>}</nowiki>
lrdekeywords = <nowiki>{</nowiki>Image<nowiki>}</nowiki>
 
 
<nowiki>}</nowiki>
 
<nowiki>}</nowiki>
   

Latest revision as of 18:56, 4 January 2018

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. }
}