Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

Transmission of UAV videos based On HEVC

Authors
Zhiyuan Li, Chao Wang, Xiaoduo Zhang
Corresponding Author
Zhiyuan Li
Available Online June 2017.
DOI
10.2991/ammee-17.2017.61How to use a DOI?
Keywords
UAV, transmission of videos, region-of-interest, HEVC.
Abstract

To meet the requirement of high-quality transmission of videos captured by unmanned aerial vehicles (UAV) with low bandwidth, a novel rate control (RC) scheme based on region-of-interest (ROI) is proposed. First, the ROI information is sent to the encoder with the latest high efficient video coding (HEVC) standard to generate an ROI map. Then, by using the ROI map, bit allocation methods are developed at frame level and large coding unit (LCU) level, to avoid inaccurate bit allocation produced by camera movement. At last, by using a better robustness R- model, the quantization parameter (QP) for each LCU is calculated. The experimental results show that the proposed RC method can get a lower bit rate error and a higher quality for reconstructed video by choosing appropriate pixel weight on the HEVC platform

Copyright
© 2017, 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 Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Series
Advances in Engineering Research
Publication Date
June 2017
ISBN
10.2991/ammee-17.2017.61
ISSN
2352-5401
DOI
10.2991/ammee-17.2017.61How to use a DOI?
Copyright
© 2017, 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  - Zhiyuan Li
AU  - Chao Wang
AU  - Xiaoduo Zhang
PY  - 2017/06
DA  - 2017/06
TI  - Transmission of UAV videos based On HEVC
BT  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 316
EP  - 322
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.61
DO  - 10.2991/ammee-17.2017.61
ID  - Li2017/06
ER  -