Higher precision range estimation for context-based adaptive binary arithmetic coding
- Author(s): Sio-Kei Im 1 and Ka-Hou Chan 1
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View affiliations
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Affiliations:
1:
MPI-QMUL Information Systems Research Centre, Macao Polytechnic Institute , Macao , People's Republic of China
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Affiliations:
1:
MPI-QMUL Information Systems Research Centre, Macao Polytechnic Institute , Macao , People's Republic of China
- Source:
Volume 14, Issue 1,
10
January
2020,
p.
125 – 131
DOI: 10.1049/iet-ipr.2018.6602 , Print ISSN 1751-9659, Online ISSN 1751-9667
This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received
04/12/2018,
Accepted
16/09/2019,
Revised
12/07/2019,
Published
01/10/2019
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Inspec keywords: arithmetic codes; video coding; rate distortion theory; adaptive codes; binary codes; finite state machines; optimisation; probability
Other keywords: Lagrangian rate distortion optimisation; range estimation; HEVC Test Model standard table; probability states; accurate context-based adaptive binary arithmetic coding look-up table; high-efficiency video coding; modern video encoders; finite-state machine; context modelling; BD-RATE gain
Subjects: Image and video coding; Optimisation techniques; Optimisation techniques; Video signal processing; Other topics in statistics; Other topics in statistics
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