Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

Intra Prediction Mode Fast Decision Algorithm Research of H.264/AVC

Authors
Daxing Qian, Yu Fan
Corresponding Author
Daxing Qian
Available Online June 2016.
DOI
10.2991/icamcs-16.2016.149How to use a DOI?
Keywords
H.264/AVC, prediction mode decision, DCT, rate distortion model.
Abstract

Intra prediction plays an important role in H.264/AVC. The mode fast decision is a significant factor for video coding efficiency in current video coding standard. Therefore, in this paper, the authors propose a method to choose the prediction mode quickly to save coding resource. According to the frame texture characteristics, the authors choose the block size and divide one intra_16×16 block into four intra_8x8 sub blocks with the algorithm. The sub blocks are transformed into frequency domain respectively. According to the number of zero, appropriate intra prediction mode can be decided. Furthermore, by taking advantage of direction relationship, the intra_4×4 sub blocks mode decision can be obtained. The experimental results demonstrate that the algorithm proposed in this paper can save coding time 30-50% while 0.04dB reduction of PSNR.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-189-6
ISSN
2352-5401
DOI
10.2991/icamcs-16.2016.149How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Daxing Qian
AU  - Yu Fan
PY  - 2016/06
DA  - 2016/06
TI  - Intra Prediction Mode Fast Decision Algorithm Research of H.264/AVC
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 738
EP  - 741
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.149
DO  - 10.2991/icamcs-16.2016.149
ID  - Qian2016/06
ER  -