Online learning for QoE-based video streaming to mobile receivers

COVID-19 is a pandemic with a wide reach and explosive magnitude, and the world has been bracing itself for impact. Many have lost their jobs and savings, and many are homeless. For better or worse, COVID-19 has permanently changed our lives. For college students, the pandemic means giving up most of the on-campus experience in the postpandemic era and performing online learning instead. Virtual lessons may become a permanent part of college education. Large-scale online learning typically utilizes interactive live video streaming. In this study, we analyzed a codec and video streaming transmission protocol using artificial intelligence. First, we studied an intraframe prediction optimization algorithm for the H.266 codec based on long short-term memory networks. In terms of video streaming transmission protocols, real-time communication optimization based on Quick UDP Internet connections and Luby Transform codes is proposed to improve the quality of interactive live video streaming. Experimental results demonstrate that the proposed strategy outperforms three benchmarks in terms of video streaming quality, video streaming latency, and average throughput.

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An online learning approach to QoE-fair distributed rate allocation in multi-user video streaming

2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS) ◽

10.1109/icspcs.2014.7021057 ◽

2014 ◽

Cited By ~ 6

Author(s):

Mahdi Hemmati ◽

Abdulsalam Yassine ◽

Shervin Shirmohammadi

Keyword(s):

Online Learning ◽

Video Streaming ◽

Rate Allocation ◽

Learning Approach

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Audio and Video Streaming in Online Learning

Web-Based Instructional Learning ◽

10.4018/978-1-931777-04-9.ch016 ◽

2011 ◽

pp. 190-202

Author(s):

P. G. Muraleedharan

Keyword(s):

Online Learning ◽

Video Streaming ◽

Streaming Media ◽

Wait Time ◽

Media Content ◽

Media Technologies ◽

On Demand ◽

The Media ◽

Streaming Technology ◽

The Web

Online Learning Systems provide educational and training services at anytime, in any location, and often when the resources would not otherwise be available. Major technologies that have been responsible for the growth of online learning include advances in PC technologies, improved connectivity, better bandwidth capabilities of the Web, video conferencing, and the streaming of audio and video. Audio and video streaming technology will play a key role in most online learning programs of the future. In the past, audio and video files were directly accessed from the Web servers and were subjected to larger wait time for a user browsing the Web. Today, live videos can be displayed without wait time using streaming technology. The two major players in media streaming technology are Microsoft and Real Networks. Both provide the media servers, content development tools, and streaming media players. Version 4.0 of Windows Media Technologies contains a rich suite of products and features that you can use to create, deliver, and play streaming media for applications ranging from news and entertainment to e-commerce, corporate communications, and distance learning. Windows Media On-Demand Producer, a component of the Windows Media Tools, simplifies the creation of streaming media content. Once your streaming media content is created, you can publish it on a media server using Windows Media On-Demand Producer. Similarly, RealProducer, an integral part of the RealNetworks RealSystem 8, creates streaming media from audio and video. The media clips can be published on a RealServer using RealProducer.

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