On the Performance of Scalable Video Coding in P2P Live Video Streaming

Kotevski, Zoran and Mitrevski, Pece (2013) On the Performance of Scalable Video Coding in P2P Live Video Streaming. In: International conference on Applied Internet and Information Technologies (AIIT2013) (AIIT2013).

[thumbnail of aiit2013 paper.pdf] Text
aiit2013 paper.pdf - Published Version

Download (709kB)


The two basic concepts of scalable video coding that are widely used in P2P video streaming are: layered video coding (LVC) and multiple description coding (MDC). With the LVC coding, the video stream is divided in several sub-streams (layers), out of which the first one is the base layer, and all other layers are enhancement layers. The base layer can be decoded independently, while decoding each enhancement layer requires its predecessor layer. MDC coding splits the video stream in several sub-streams (descriptions), where each description can be independently decoded, for the price of a certain coding overhead. The main idea of both techniques is to split the video stream and distribute it over multiple network paths, in order to ensure that at least one sub-stream is received error-free. In this paper, a discrete event simulation model that compares the performance of LVC and MDC coding schemes is developed. The model assumes mesh-based P2P live video streaming system using network path diversity for each of the generated sub-streams. The results obtained imply that MDC exhibits better performance compared to LVC under the same network conditions, but only to a point of 5% introduced coding overhead. When both these techniques are compared to a single description (SD) coding, it appears that SD technique offers better performance than the other two scalable coding techniques, but the downside of SD is that the service degradation is not that graceful compared to MDC or LVC.

Item Type: Conference or Workshop Item (Paper)
Subjects: Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Scientific Fields (Frascati) > Engineering and Technology > Other engineering and technologies
Divisions: Faculty of Information and Communication Technologies
Depositing User: Prof. d-r. Zoran Kotevski
Date Deposited: 16 May 2023 13:12
Last Modified: 16 May 2023 13:12
URI: https://eprints.uklo.edu.mk/id/eprint/8340

Actions (login required)

View Item View Item