Paper Info
Title
Low-Complexity and Hardware-Friendly H.265/HEVC Encoder for Vehicular Ad-Hoc Networks.
Abstract
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.
Year
DOI
Venue
2019
10.3390/s19081927
SENSORS
Keywords
Field
DocType
high efficiency video coding,low complexity,hardware friendly,vehicular ad-hoc networks
Naive Bayes classifier,Coding tree unit,Depth-first search,Electronic engineering,Coding (social sciences),Real-time computing,Encoder,Wireless ad hoc network,Engineering,Codec,Encoding (memory)
Journal
Volume
Issue
ISSN
19
8
1424-8220
Citations 
PageRank 
References 
4
0.36
0
Authors
4
Name
Order
Citations
PageRank
Xiantao Jiang1508.24
Jie Feng2624.56
Tian Song3445.48
Takafumi Katayama4195.70