Affiliation:
1. Politecnico di Torino, Italy
2. Eindhoven University of Technology, The Netherlands
Abstract
Widespread adoption of broadband Internet and the introduction of multimedia-capable mobile devices enable the proliferation of many streaming video services. However, best-effort networks are not natively designed to such a purpose. They do not provide any guarantees for delivering the content on time or offer constant service quality. Furthermore, video streaming presents a heavy load for servers. This is especially the case for special events that bring an enormous amount of users causing so called “flash crowds,” which overload unsuitable systems. Peer-to-peer (P2P) techniques can be successfully exploited to build scalable streaming systems using the distributed resources of users themselves. In this chapter, the authors explore the different techniques proposed in the context of adaptive streaming, both live and on demand. Each covered approach addresses the video streaming problem from a different perspective, and so, brings specific advantages and disadvantages in its solution.
Reference43 articles.
1. Abbasi, U., & Ahmed, T. (2010). SWOR: An architecture for P2P scalable video streaming using small world overlay. Proceedings of the 7th IEEE Conference on Consumer Communications and Networking Conference, (pp. 1-5).
2. Abboud, O., Zinner, T., Pussep, K., Al-Sabea, S., Steinmetz, R., & Darmstadt, T. U. (2011). On the impact of quality adaptation in SVC-based P2P video-on-demand systems categories and subject descriptors. Proceedings of the Second Annual ACM Conference on Multimedia Systems.
3. Adobe (2010). HTTP dynamic streaming on the Adobe Flash platform. Retrieved from http://www.adobe.com/products/httpdynamicstreaming/pdfs/httpdynamicstreaming_wp_ue.pdf
4. Video transcoding: an overview of various techniques and research issues
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Quality of Experience and Quality of Service Metrics for 3D Content;3D Visual Content Creation, Coding and Delivery;2018-07-29
2. QoE Active Control;Computational Inference and Control of Quality in Multimedia Services;2015