Low-Complexity and Hardware-Friendly H.265/HEVC Encoder for Vehicular Ad-Hoc Networks

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 nei...

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Vydáno v:Sensors (Basel, Switzerland) Ročník 19; číslo 8; s. 1927
Hlavní autoři: Jiang, Xiantao, Feng, Jie, Song, Tian, Katayama, Takafumi
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland MDPI AG 24.04.2019
MDPI
Témata:
Algorithms
Bandwidths
Collaboration
Data compression
Efficiency
hardware friendly
high efficiency video coding
low complexity
Methods
Multimedia communications
Streaming media
Traffic congestion
Vehicles
vehicular ad-hoc networks
United States > US
China
high efficiency video coding
low complexity
vehicular ad-hoc networks
hardware friendly
ISSN:1424-8220, 1424-8220
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Shrnutí: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.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s19081927