Adapting the H. 264 Standard to the Internet of Vehicles

Y Wiseman - Technologies, 2023 - mdpi.com
We suggest two steps of reducing the amount of data transmitted on Internet of Vehicle
networks. The first step shifts the image from a full-color resolution to only an 8-color …

Towards the availability of video communication in artificial intelligence-based computer vision systems utilizing a multi-objective function

YO Sharrab, I Alsmadi, NJ Sarhan - Cluster Computing, 2022 - Springer
Availability is one of the three main goals of information security. This paper contributes to
systems' availability by introducing an optimization model for the adaptation (controlling the …

Adaptive live video streaming on low-cost wireless multihop networks for road traffic surveillance in smart cities

S Felici-Castell, M García-Pineda… - Future Generation …, 2021 - Elsevier
Traffic surveillance is an important issue for Intelligent Transportation Systems (ITS) that
helps detect incidents automatically, such as wrong-way drivers, still-standing vehicles and …

Performance comparison of several deep learning-based object detection algorithms utilizing thermal images

YO Sharrab, M Alsmira, Z Dwekat… - … on intelligent data …, 2021 - ieeexplore.ieee.org
The recent advancement in deep learning approaches of machine learning and computer
vision technology has paved the way for many advancements in object detection prediction …

[PDF][PDF] Machine learning-based energy consumption modeling and comparing of H. 264 and Google VP8 encoders

YO Sharrab, M Alsmirat, B Hawashin… - International Journal of …, 2021 - academia.edu
Advancement of the prediction models used in a variety of fields is a result of the contribution
of machine learning approaches. Utilizing such modeling in feature engineering is …

Video coding deep learning-based modeling for long life video streaming over next network generation

M Alsmirat, Y Sharrab, M Tarawneh, S Al-shboul… - Cluster …, 2023 - Springer
Availability is one of the primary goals of smart networks, especially, if the network is under
heavy video streaming traffic. In this paper, we propose a deep learning based methodology …

Balancing latency and accuracy on deep video analytics at the edge

X Li, B Cho, Y Xiao - 2022 IEEE 19th Annual Consumer …, 2022 - ieeexplore.ieee.org
Real-time deep video analytic at the edge is an enabling technology for emerging
applications, such as vulnerable road user detection for autonomous driving, which requires …

Help save the planet: Please do adjust your picture

O Ejembi, SN Bhatti - Proceedings of the 22nd ACM international …, 2014 - dl.acm.org
Allowing digital video users to make choices of picture size and codec would significantly
reduce energy usage, electricity costs and the carbon footprint of Internet users. Our …

Interaction by Hand-Tracking in a Virtual Reality Environment

MCL de Castro, JP de A Xavier… - 2021 22nd IEEE …, 2021 - ieeexplore.ieee.org
This article describes the elaboration of a low-cost system that allows user interaction with
VR environments modeled in Unity and viewed through Google Cardboard. The proposed …

Edge computing for mixed reality

J Lindqvist - 2019 - diva-portal.org
Mixed reality, or augmented reality, where the real and the virtual worlds are combined, has
seen an increase in interest in recent years with the release of tools like Google ARCore and …