IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Intra-Refresh Techniques for Mobile Video Streaming

Intra-Refresh Techniques for Mobile Video Streaming
View Sample PDF
Author(s): Martin Fleury (University of Essex, UK), Ismail Ali (University of Essex, UK), Nadia Qadri (COMSATS Institute of Information & Technology, Pakistan)and Mohammed Ghanbari (University of Essex, UK)
Copyright: 2013
Pages: 24
Source title: Intelligent Multimedia Technologies for Networking Applications: Techniques and Tools
Source Author(s)/Editor(s): Dimitris Kanellopoulos (University of Patras, Greece)
DOI: 10.4018/978-1-4666-2833-5.ch005

Purchase

View Intra-Refresh Techniques for Mobile Video Streaming on the publisher's website for pricing and purchasing information.

Abstract

Mobile devices are replacing the desktop computer in most spheres outside the workplace. This development brings a problem to video streaming services, as wireless channels are fundamentally error-prone, whereas video compression depends for most of its gains on predictive coding. The H.264 codec family has included a good number of error resilience facilities to counter-act the spatio-temporal error propagation brought on by packet loss. This chapter outlines these facilities before examining ways in which predictive coding can be temporally restrained. In particular, intra-refresh techniques are the focus, as these bring additional utility to the video stream. For example, the chapter compares periodic and gradual intra-refresh, each of which provides recovery points for the decoder and also allow stream switching or joining at these points. Thus, in intra-coding, the more normal temporal prediction is temporally replaced by spatial prediction, at a cost in coding efficiency but allowing a decoder in a mobile device to reset itself. After a review of research into this area, the chapter provides a case study in non-periodic intra-refresh before considering possible future research directions.

Related Content

S. Vijay Anand, Sathis Kumar B.. © 2023. 12 pages.
Sudarson Rama Perumal, Muthumanikandan V., Sushmitha J.. © 2023. 30 pages.
Sipra Swain, Biswa Ranjan Senapati, Pabitra Mohan Khilar. © 2023. 31 pages.
Uma Mageswari R., Nallarasu Krishnan, Mohammed Sirajudeen Yoosuf, Murugan K., Sankar Ram C.. © 2023. 20 pages.
Divya L., Pradeep Kumar T. S.. © 2023. 15 pages.
Pradeep Kumar T. S., Vetrivelan P.. © 2023. 15 pages.
Vanitha Veerasamy, Rajathi Natarajan. © 2023. 16 pages.
Body Bottom