An Intelligent Video Processing Architecture for Edge-cloud Video Streaming

2021 ◽  
Author(s):  
Chengsi Gao ◽  
Ying Wang ◽  
Weiwei Chen ◽  
Lei Zhang
Keyword(s):  
Video Streaming ◽  
Video Processing ◽  
Processing Architecture

H.265 Video Streaming in Mobile Cloud Networks

Web Services ◽  
2019 ◽  
pp. 1007-1047
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.

H.265 Video Streaming in Mobile Cloud Networks

2015 ◽  
pp. 238-277
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.

H.265 Video Streaming in Mobile Cloud Networks

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.

Towards a video processing architecture for SBTVD

2012 ◽  
Author(s):  
M. Negreiros ◽  
H. A. Klein ◽  
A. C. Bonatto ◽  
A. B. Soares ◽  
A. A. Susin
Keyword(s):  
Video Processing ◽  
Processing Architecture

scholarly journals A MOBILE CROWDSOURCING SYSTEM FOR FOOTBALL MATCH LIVE VIDEO STREAMING

2018 ◽  
Vol 6 ◽  
pp. 1083-1088
Author(s):  
Georgi Iliev
Keyword(s):  
Real Time ◽  
Video Streaming ◽  
Video Processing ◽  
High Speed ◽  
Collaborative Work ◽  
Video Data ◽  
Mobile Crowdsourcing ◽  
Football Match ◽  
Service Oriented ◽  
Parallel Video Processing

Mobile crowdsourcing is a fast-growing emerging approach whereby large groups of mobile users are engaged in a collaborative work on performing a particular task or using its results. This paper presents a concept for the development of a mobile crowdsourcing system with extended capabilities for real-time broadcasting and receiving amateur football match video. It is designed to resolve the problem of possible delays and the overload of a system and to accelerate the process of big video data transmission. The proposed system is based on a service-oriented, three-layer cloud architecture and a specialized mobile video streaming application. The architecture includes a main server, infrastructure of scalable multi-parallel video processing engine and an auxiliary server for synchronizing real-time information, which significantly facilitates the handling of user requests with minimal cost and at a high speed. The concept is realized in the Footlikers platform as a basic client-server, WOWZA streaming engine, deployed on an Amazon EC2 cloud machine and a simple sync-server. The results of the program realization of the developed system prototype are presented, regarding football game video steaming intended for amateur football competitions based and organized in France, Belgium and Luxembourg.

Color HDR video processing architecture for smart camera

2018 ◽  
Vol 17 (3) ◽  
pp. 555-566 ◽  
Author(s):  
Svetozar Nosko ◽  
Martin Musil ◽  
Pavel Zemcik ◽  
Roman Juranek
Keyword(s):  
Video Processing ◽  
Smart Camera ◽  
Processing Architecture

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

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