H.265 Video Streaming in Mobile Cloud Networks

Mobile video applications have started to dominate the global mobile data traffic in recent years, and both opportunities and challenges have arisen when the emerging mobile cloud paradigm is introduced to support the resource-demanding video processing and networking services. This chapter offers in-depth discussions for content- and context-aware, adaptive, robust, secure, and real-time video applications in mobile cloud networks. The chapter describes and analyses the essential building blocks including the state-of-the-art technologies and standards on video encoding, adaptive streaming, mobile cloud computing, and resource management, and the associated security issues. The focus is context-aware adaptive streaming based on the latest video coding standard H.265 in the context of Internet-centric mobile cloud networking. Built upon selected building blocks underpinned by promising approaches and emerging standards, an integrated architecture is proposed towards achieving next-generation smart video streaming for mobile cloud users, with future research directions in this field identified.

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H.265 Video Streaming in Mobile Cloud Networks

Web-Based Services ◽

10.4018/978-1-4666-9466-8.ch041 ◽

2016 ◽

pp. 906-944

Author(s):

Qi Wang ◽

James Nightingale ◽

Jose M. Alcaraz-Calero ◽

Chunbo Luo ◽

Zeeshan Pervez ◽

...

Keyword(s):

Video Streaming ◽

Video Processing ◽

Building Blocks ◽

Future Research ◽

Mobile Cloud ◽

Context Aware ◽

Adaptive Streaming ◽

Data Traffic ◽

Cloud Networks ◽

Cloud Networking

Mobile video applications have started to dominate the global mobile data traffic in recent years, and both opportunities and challenges have arisen when the emerging mobile cloud paradigm is introduced to support the resource-demanding video processing and networking services. This chapter offers in-depth discussions for content- and context-aware, adaptive, robust, secure, and real-time video applications in mobile cloud networks. The chapter describes and analyses the essential building blocks including the state-of-the-art technologies and standards on video encoding, adaptive streaming, mobile cloud computing, and resource management, and the associated security issues. The focus is context-aware adaptive streaming based on the latest video coding standard H.265 in the context of Internet-centric mobile cloud networking. Built upon selected building blocks underpinned by promising approaches and emerging standards, an integrated architecture is proposed towards achieving next-generation smart video streaming for mobile cloud users, with future research directions in this field identified.

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Context-aware HTTP Adaptive Streaming in mobile cloud environments

2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN) ◽

10.1109/icufn.2016.7536961 ◽

2016 ◽

Author(s):

Chaemin Seong ◽

Minsoo Jang ◽

Kyungshik Lim

Keyword(s):

Mobile Cloud ◽

Context Aware ◽

Adaptive Streaming ◽

Http Adaptive Streaming ◽

Cloud Environments

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Machine Learning for Communications

Entropy ◽

10.3390/e23070831 ◽

2021 ◽

Vol 23 (7) ◽

pp. 831

Author(s):

Vaneet Aggarwal

Keyword(s):

Machine Learning ◽

Augmented Reality ◽

Video Streaming ◽

Communication Networks ◽

Data Analytics ◽

Data Traffic ◽

Traffic Demand ◽

Performance Requirements

Due to the proliferation of applications and services that run over communication networks, ranging from video streaming and data analytics to robotics and augmented reality, tomorrow’s networks will be faced with increasing challenges resulting from the explosive growth of data traffic demand with significantly varying performance requirements [...]

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Simulated Breathing: Application of Molecular Dynamics Simulations to Pulmonary Lung Surfactant

Symmetry ◽

10.3390/sym13071259 ◽

2021 ◽

Vol 13 (7) ◽

pp. 1259

Author(s):

Maksymilian Dziura ◽

Basel Mansour ◽

Mitchell DiPasquale ◽

P. Charukeshi Chandrasekera ◽

James W. Gauld ◽

...

Keyword(s):

Molecular Dynamics ◽

Pulmonary Surfactant ◽

Lung Surfactant ◽

Protein Composition ◽

Md Simulations ◽

Building Blocks ◽

Future Research ◽

Total Composition ◽

Protein Components ◽

Dynamics Simulations

In this review, we delve into the topic of the pulmonary surfactant (PS) system, which is present in the respiratory system. The total composition of the PS has been presented and explored, from the types of cells involved in its synthesis and secretion, down to the specific building blocks used, such as the various lipid and protein components. The lipid and protein composition varies across species and between individuals, but ultimately produces a PS monolayer with the same role. As such, the composition has been investigated for the ways in which it imposes function and confers peculiar biophysical characteristics to the system as a whole. Moreover, a couple of theories/models that are associated with the functions of PS have been addressed. Finally, molecular dynamic (MD) simulations of pulmonary surfactant have been emphasized to not only showcase various group’s findings, but also to demonstrate the validity and importance that MD simulations can have in future research exploring the PS monolayer system.

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An Intelligent Video Processing Architecture for Edge-cloud Video Streaming

10.1109/dac18074.2021.9586328 ◽

2021 ◽

Author(s):

Chengsi Gao ◽

Ying Wang ◽

Weiwei Chen ◽

Lei Zhang

Keyword(s):

Video Streaming ◽

Video Processing ◽

Processing Architecture

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Temporal Dynamics of PERMA Building Blocks and Well-being in Daily Life: An Ecological Momentary Assessment

10.31234/osf.io/gs2vd ◽

2021 ◽

Author(s):

Saeideh Heshmati ◽

Zita Oravecz

Keyword(s):

Ecological Momentary Assessment ◽

Temporal Dynamics ◽

Daily Life ◽

Well Being ◽

Building Blocks ◽

Individual Variability ◽

Future Research ◽

Dynamical Features ◽

Ecological Momentary ◽

Momentary Assessment

Most assessments of well-being have relied on retrospective accounts, measured by global evaluative well-being scales. Following the recent debates focused on the assessment of hedonic and eudaimonic well-being based on the elements of the PERMA theory, the current study aimed to shed further light onto the measurement of PERMA elements in daily life and their temporal dynamics. Through an Ecological Momentary Assessment (EMA) design (N=160), we examined the dynamics of change (e.g., baselines and intra-individual variability) in the PERMA elements using the mPERMA measure, which is an EMA-adapted version of the PERMA Profiler. Findings revealed that momentary experiences of well-being, quantified via PERMA elements, map onto their corresponding hedonic or eudaimonic well-being components, and its dynamical features provide novel insights into predicting global well-being. This work offers avenues for future research to assess well-being in real-time and real-world contexts in ecologically valid ways, while eliminating recall bias.

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Unmanned Aerial Vehicle–Based Traffic Analysis: Methodological Framework for Automated Multivehicle Trajectory Extraction

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/2626-04 ◽

2017 ◽

Vol 2626 (1) ◽

pp. 25-33 ◽

Cited By ~ 15

Author(s):

Muhammad Arsalan Khan ◽

Wim Ectors ◽

Tom Bellemans ◽

Davy Janssens ◽

Geert Wets

Keyword(s):

Traffic Safety ◽

Video Processing ◽

Traffic Monitoring ◽

Future Research ◽

Methodological Framework ◽

Vehicle Detection And Tracking ◽

Potential Applications ◽

Multiple Vehicles ◽

Processing Techniques ◽

Optimal Data Analysis

Unmanned aerial vehicles (UAVs), commonly referred to as drones, are one of the most dynamic and multidimensional emerging technologies of the modern era. This technology has recently found multiple potential applications within the transportation field, ranging from traffic surveillance applications to traffic network analysis. To conduct a UAV-based traffic study, extremely diligent planning and execution are required followed by an optimal data analysis and interpretation procedure. In this study, however, the main focus was on the processing and analysis of UAV-acquired traffic footage. A detailed methodological framework for automated UAV video processing is proposed to extract the trajectories of multiple vehicles at a particular road segment. Such trajectories can be used either to extract various traffic parameters or to analyze traffic safety situations. The proposed framework, which provides comprehensive guidelines for an efficient processing and analysis of a UAV-based traffic study, comprises five components: preprocessing, stabilization, georegistration, vehicle detection and tracking, and trajectory management. Until recently, most traffic-focused UAV studies have employed either manual or semiautomatic processing techniques. In contrast, this paper presents an in-depth description of the proposed automated framework followed by a description of a field experiment conducted in the city of Sint-Truiden, Belgium. Future research will mainly focus on the extension of the applications of the proposed framework in the context of UAV-based traffic monitoring and analysis.

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