Next Article in Journal
The Effectiveness of Depth Data in Liveness Face Authentication Using 3D Sensor Cameras
Next Article in Special Issue
Improving Discrimination in Color Vision Deficiency by Image Re-Coloring
Previous Article in Journal
Analyzing Gait in the Real World Using Wearable Movement Sensors and Frequently Repeated Movement Paths
Open AccessArticle

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

1
Department of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
2
State Key Laboratory of Integrated Services Networks, Department of Telecommunications Engineering, Xidian University, Xi’an 710071, China
3
Department of Electrical and Electronics Engineering, Tokushima University, 2-24, Shinkura-cho, Tokushima 770-8501, Japan
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(8), 1927; https://doi.org/10.3390/s19081927
Received: 19 March 2019 / Revised: 16 April 2019 / Accepted: 22 April 2019 / Published: 24 April 2019
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. View Full-Text
Keywords: high efficiency video coding; low complexity; hardware friendly; vehicular ad-hoc networks high efficiency video coding; low complexity; hardware friendly; vehicular ad-hoc networks
Show Figures

Figure 1

MDPI and ACS Style

Jiang, X.; Feng, J.; Song, T.; Katayama, T. Low-Complexity and Hardware-Friendly H.265/HEVC Encoder for Vehicular Ad-Hoc Networks. Sensors 2019, 19, 1927.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop