Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)

HD Video Coding based on Fractal and H.264

Authors
Yun Chen
Corresponding Author
Yun Chen
Available Online December 2018.
DOI
https://doi.org/10.2991/meici-18.2018.189How to use a DOI?
Keywords
High-definition video; Video coding; Fractal coding; H.264
Abstract

This paper studies the HD video and remote sensing image compression algorithm based on fractal and H.264.In order to study the technology of image storage and transmission suitable for HD resolution video. The system further optimizes the intra-frame coding mode currently adopted by H.264, and proposes a new fast intra-block block algorithm to reduce the prediction mode selection. For inter prediction, a new motion estimation and motion compensation algorithm is proposed based on fractal. In order to further reduce the number of coded bits, transform, quantize and entropy encode the fractal residuals. Since the motion vector MV and the fractal coefficients cannot be quantized, their differences are directly entropy encoded. The high-definition video coding system based on fractal and H.264 not only reduces the coding complexity, but also improves the coding efficiency.

Copyright
© 2018, 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 2018 8th International Conference on Management, Education and Information (MEICI 2018)
Series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-640-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/meici-18.2018.189How to use a DOI?
Copyright
© 2018, 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  - Yun Chen
PY  - 2018/12
DA  - 2018/12
TI  - HD Video Coding based on Fractal and H.264
BT  - Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)
PB  - Atlantis Press
SP  - 944
EP  - 949
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-18.2018.189
DO  - https://doi.org/10.2991/meici-18.2018.189
ID  - Chen2018/12
ER  -