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ID 115723
著者
Jiang, Xiantao Shanghai Maritime University
Feng, Jie Xidian University
キーワード
high efficiency video coding
low complexity
hardware friendly
vehicular ad-hoc networks
資料タイプ
学術雑誌論文
抄録
Real-time video streaming over vehicular ad-hoc networks (VANETs) has been considered as a critical challenge for road safety applications. The purpose of this paper is to reduce the computation complexity of high efficiency video coding (HEVC) encoder for VANETs. Based on a novel spatiotemporal neighborhood set, firstly the coding tree unit depth decision algorithm is presented by controlling the depth search range. Secondly, a Bayesian classifier is used for the prediction unit decision for inter-prediction, and prior probability value is calculated by Gibbs Random Field model. Simulation results show that the overall algorithm can significantly reduce encoding time with a reasonably low loss in encoding efficiency. Compared to HEVC reference software HM16.0, the encoding time is reduced by up to 63.96%, while the Bjontegaard delta bit-rate is increased by only 0.76–0.80% on average. Moreover, the proposed HEVC encoder is low-complexity and hardware-friendly for video codecs that reside on mobile vehicles for VANETs.
掲載誌名
Sensors
ISSN
14248220
出版者
MDPI
19
8
開始ページ
1927
発行日
2019-04-24
権利情報
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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出版社版DOI
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言語
eng
著者版フラグ
出版社版
部局
理工学系