Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)

A bitrate clustering recognition algorithm for wireless video transmission

Authors
Wen-Juan Shi
Corresponding Author
Wen-Juan Shi
Available Online December 2016.
DOI
10.2991/eeeis-16.2017.11How to use a DOI?
Keywords
bitrate recognition; video frame quality; bitrate clustering; wireless video transmission Template.
Abstract

The wireless video transmission process, due to the complexity and variability of wireless communication channels, requires the bitrates to be adjusted to match the dynamic wireless channel. An analysis of the video frame quality could be used as an important basis to adjust the wireless video bitrates. In order to recognize different bitrates for wireless video streaming according to the distribution characteristics of the video frame quality, this paper proposes a video bitrate clustering recognition algorithm called BCRA. BCRA can recognize different bitrates by partitioning the frames of the same bitrate into clusters. The proposed algorithm uses the structural similarity (SSIM) between every original and terminal decoding frame to quantify the degradation of structural information with regard to the video frame quality. Then, the algorithm computes the measure of similarity between two neighboring SSIM values, which indicates the similarity of neighboring frames and can be used to partition the video frames into frame intervals. Finally, a clustering algorithm composed of the hierarchical interval division algorithm and the standard deviation ratio based clustering algorithm is proposed to recognize the different bitrates. Experimental results on the LIVE mobile video quality assessment (VQA) database show that the proposed algorithm can recognize the change of video bitrates by analyzing the video frame quality and is consistent with the real bitrates for wireless video transmission.

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 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
10.2991/eeeis-16.2017.11
ISSN
2352-5401
DOI
10.2991/eeeis-16.2017.11How 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  - Wen-Juan Shi
PY  - 2016/12
DA  - 2016/12
TI  - A bitrate clustering recognition algorithm for wireless video transmission
BT  - Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
PB  - Atlantis Press
SP  - 83
EP  - 93
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-16.2017.11
DO  - 10.2991/eeeis-16.2017.11
ID  - Shi2016/12
ER  -