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Region-adaptive probability model selection for the arithmetic coding of video texture

Kenneth Vermeirsch UGent, Joeri Barbarien, Peter Lambert UGent and Rik Van de Walle UGent (2011) International Conference on Acoustics Speech and Signal Processing ICASSP. p.1537-1540
abstract
In video coding systems using adaptive arithmetic coding to compress texture information, the employed symbol probability models need to be retrained every time the coding process moves into an area with different texture. To avoid this inefficiency, we propose to replace the probability models used in the original coder with multiple switchable sets of probability models. We determine the model set to use in each spatial region in an optimal manner, taking into account the additional signaling overhead. Experimental results show that this approach, when applied to H. 264/AVC's context-based adaptive binary arithmetic coder (CABAC), yields significant bit-rate savings, which are comparable to or higher than those obtained using alternative improvements to CABAC previously proposed in the literature.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
CABAC, arithmetic coding, Video coding, STANDARD, context modeling, adaptivity
in
International Conference on Acoustics Speech and Signal Processing ICASSP
Proc. IEEE Int. Conf. Acoust. Speech Signal Process.
issue title
2011 IEEE international conference on acoustics, speech, and signal processing
pages
1537 - 1540
publisher
IEEE
place of publication
New York, NY, USA
conference name
36th International conference on Acoustics, Speech and Signal Processing (ICASSP 2011)
conference location
Prague, Czech Republic
conference start
2011-05-22
conference end
2011-05-27
Web of Science type
Proceedings Paper
Web of Science id
000296062401194
ISSN
1520-6149
ISBN
9781457705373
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1250721
handle
http://hdl.handle.net/1854/LU-1250721
date created
2011-06-01 11:21:32
date last changed
2012-05-15 15:38:51
@inproceedings{1250721,
  abstract     = {In video coding systems using adaptive arithmetic coding to compress texture information, the employed symbol probability models need to be retrained every time the coding process moves into an area with different texture. To avoid this inefficiency, we propose to replace the probability models used in the original coder with multiple switchable sets of probability models. We determine the model set to use in each spatial region in an optimal manner, taking into account the additional signaling overhead. Experimental results show that this approach, when applied to H. 264/AVC's context-based adaptive binary arithmetic coder (CABAC), yields significant bit-rate savings, which are comparable to or higher than those obtained using alternative improvements to CABAC previously proposed in the literature.},
  author       = {Vermeirsch, Kenneth and Barbarien, Joeri and Lambert, Peter and Van de Walle, Rik},
  booktitle    = {International Conference on Acoustics Speech and Signal Processing ICASSP},
  isbn         = {9781457705373},
  issn         = {1520-6149},
  keyword      = {CABAC,arithmetic coding,Video coding,STANDARD,context modeling,adaptivity},
  language     = {eng},
  location     = {Prague, Czech Republic},
  pages        = {1537--1540},
  publisher    = {IEEE},
  title        = {Region-adaptive probability model selection for the arithmetic coding of video texture},
  year         = {2011},
}

Chicago
Vermeirsch, Kenneth, Joeri Barbarien, Peter Lambert, and Rik Van de Walle. 2011. “Region-adaptive Probability Model Selection for the Arithmetic Coding of Video Texture.” In International Conference on Acoustics Speech and Signal Processing ICASSP, 1537–1540. New York, NY, USA: IEEE.
APA
Vermeirsch, Kenneth, Barbarien, J., Lambert, P., & Van de Walle, R. (2011). Region-adaptive probability model selection for the arithmetic coding of video texture. International Conference on Acoustics Speech and Signal Processing ICASSP (pp. 1537–1540). Presented at the 36th International conference on Acoustics, Speech and Signal Processing (ICASSP 2011), New York, NY, USA: IEEE.
Vancouver
1.
Vermeirsch K, Barbarien J, Lambert P, Van de Walle R. Region-adaptive probability model selection for the arithmetic coding of video texture. International Conference on Acoustics Speech and Signal Processing ICASSP. New York, NY, USA: IEEE; 2011. p. 1537–40.
MLA
Vermeirsch, Kenneth, Joeri Barbarien, Peter Lambert, et al. “Region-adaptive Probability Model Selection for the Arithmetic Coding of Video Texture.” International Conference on Acoustics Speech and Signal Processing ICASSP. New York, NY, USA: IEEE, 2011. 1537–1540. Print.