Reviewing HTTP and RTSP Work in Two Actual Commercial Media Delivery Platforms for Multimedia Services and Mobile Devices

2012 ◽  
pp. 91-110
Author(s):  
Martin Zimmermann ◽  
Gilbert Seilheimer
Keyword(s):  
Mobile Devices ◽  
Video Streaming ◽  
Mobile Media ◽  
Streaming Server ◽  
Commercial Media ◽  
Streaming Applications ◽  
Mobile Video Streaming ◽  
The Media ◽  
Media Delivery

The media streaming server technology have been developed in the recent past using free software and open source approaches. But commercial approaches are preferred by certain multimedia big enterprises. These enterprises dominate the mobile media delivery business. For this reason we think it is interesting to discover the main characteristics of the principal commercial platforms to deliver mobile video streaming to mobile devices and its main key features: Media and delivery components. We will give our vision on: Real Networks’ Helix Media delivery components based on RTSP and Microsoft’s IIS Media Services based on HTTP. The aim of this book chapter is to provide detailed insight into these different streaming approaches and how these platforms and protocols aid in building flexible streaming applications for mobile devices. A comparison among these approaches is also provided and also we present the delivery of video streaming to Apple mobile devices in the two commercial approaches.

scholarly journals Using Factor Analysis Techniques to Find Out Objective Video Quality Metrics for Live Video Streaming over Cloud Mobile Media Services

2016 ◽  
Vol 8 (1) ◽  
pp. 126 ◽  
Author(s):  
Miguel Garcia-Pineda ◽  
Santiago Felici-Castell ◽  
Jaume Segura-Garcia
Keyword(s):  
Factor Analysis ◽  
Video Streaming ◽  
Video Quality ◽  
Mobile Media ◽  
Live Video ◽  
Analysis Techniques ◽  
Live Video Streaming ◽  
Streaming Applications ◽  
Opinion Score ◽  
Media Services

The increased adoption of smartphones, the access to mobile broadband networks and the availability of public Clouds allow new multimedia services, called Cloud Mobile Media Services. Under this new architecture the proliferation of live video streaming applications and the Quality of Experience (QoE) given by the final user are an issue, due to the higher and variable delay, as result of the virtualization methods used in the Clouds. Thus in this paradigm new challenges appear related to keep and estimate a good QoE in terms of a standarized subjective video quality called Mean Opinion Score (MOS). In this paper we analyze different approaches based on Factor Analysis techniques to estimate the subjective MOS both using Full Reference and Non Reference approaches. We compare the performance of the estimated MOS against publicly available video quality algorithms.

scholarly journals Power Modeling for Video Streaming Applications on Mobile Devices

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 70234-70244
Author(s):  
Christian Herglotz ◽  
Stephane Coulombe ◽  
Carlos Vazquez ◽  
Ahmad Vakili ◽  
Andre Kaup ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Video Streaming ◽  
Power Modeling ◽  
Streaming Applications

Online OLED dynamic voltage scaling for video streaming applications on mobile devices

2013 ◽  
Vol 10 (2) ◽  
pp. 18-18
Author(s):  
Mengying Zhao ◽  
Yiran Chen ◽  
Xiang Chen ◽  
Chun Jason Xue
Keyword(s):  
Mobile Devices ◽  
Video Streaming ◽  
Voltage Scaling ◽  
Dynamic Voltage Scaling ◽  
Streaming Applications ◽  
Dynamic Voltage

scholarly journals Bit Rate Adaptation Using Linear Quadratic Optimization for Mobile Video Streaming

2020 ◽  
Vol 11 (1) ◽  
pp. 99
Author(s):  
Young-myoung Kang ◽  
Yeon-sup Lim
Keyword(s):  
Video Streaming ◽  
Quadratic Optimization ◽  
Mobile Environments ◽  
Mobile Video ◽  
Bit Rate ◽  
Linear Quadratic ◽  
Streaming Server ◽  
Network Bandwidth ◽  
Mobile Video Streaming

Video streaming application such as Youtube is one of the most popular mobile applications. To adjust the quality of video for available network bandwidth, a streaming server provides multiple representations of video of which bit rate has different bandwidth requirements. A streaming client utilizes an adaptive bit rate (ABR) scheme to select a proper representation that the network can support. However, in mobile environments, incorrect decisions of an ABR scheme often cause playback stalls that significantly degrade the quality of user experience, which can easily happen due to network dynamics. In this work, we propose a control theory (Linear Quadratic Optimization)-based ABR scheme to enhance the quality of experience in mobile video streaming. Our simulation study shows that our proposed ABR scheme successfully mitigates and shortens playback stalls while preserving the similar quality of streaming video compared to the state-of-the-art ABR schemes.

scholarly journals A Secured Adaptive HTTP-Based Video Streaming System Using AES Algorithm

2019 ◽  
pp. 1-11
Author(s):  
Aderonke J. Ikuomola
Keyword(s):  
Video Streaming ◽  
Streaming Video ◽  
Sql Server ◽  
Video Content ◽  
Content Delivery Network ◽  
Streaming Server ◽  
Moving Images ◽  
Sql Server Database ◽  
The Media ◽  
Hyper Text Transfer Protocol

Streaming video is a process of transferring moving images or video over the internet in a compressed form to viewers so that it can be viewed in real time. Streaming video technology is becoming more powerful all the time and appreciable works have been done in this area. However, security and adaptation of video are still problems to be tackled in the area of video streaming. In this paper, a secured and adaptive HTTP video streaming system (SAHVISS) was designed. The system was implemented using PHP, HTML5, Angular JS, Java Script and SQL Server database. It was tested on different computers and mobile devices using various web browsers. SAHVISS consist of four components namely Video Source, Streaming Server, Distribution Server and Client. The Streaming Server is made up of two sub-components namely the media encoder and the streamer. The server requires a media encoder to converts raw (uncompressed) digital video to a compressed format while the streamer breaks the encoded media into segments and save them as file. The distribution server comprises of Content Delivery Network and the Web server which delivers media file and the index files to the client over Hyper Text Transfer Protocol (HTTP).  The performance of SAHVISS shows that it provides an efficient technique for solving the issues of adaptation and privacy/security of streaming video content. It is a robust, secured and an adaptive http video streaming system.

Optimal Pricing for Mobile Video Streaming in 3G Wireless Packet Networks

2012 ◽  
Vol 2 (2) ◽  
pp. 134-136
Author(s):  
Ch. Divya Ch. Divya ◽  
◽  
Dr. P. Govardhan Dr. P. Govardhan
Keyword(s):  
Video Streaming ◽  
Optimal Pricing ◽  
Packet Networks ◽  
Mobile Video ◽  
Mobile Video Streaming ◽  
Wireless Packet
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