Abstract
Scalable Video adaptation is process of extracting the scalable video levels, which can be realized by technologies such as Software Defined Network and Content Aware Network, where devices are capable of processing packets based on the content that flows through them. The main challenge involved in the adaptation process is building the prior knowledge required for deciding the number of scalable layers. This paper implements Scalable Video streaming over a Software Defined Network. From this work, we derive the prior knowledge required by the controller to identify the adaptation parameters for different network conditions and video types.
Original language | English |
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Pages (from-to) | 715-722 |
Number of pages | 8 |
Journal | Procedia Computer Science |
Volume | 115 |
Early online date | 16 Oct 2017 |
DOIs | |
Publication status | Published - 2017 |
Event | 7th International Conference on Advances in Computing and Communications, ICACC 2017 - Kochi, Kerala, India Duration: 22 Aug 2017 → 24 Aug 2017 |
Keywords
- Content Aware Networking
- Future Internet
- Scalable Video Coding
- Software Defined Networks
- Video Adaptation
- Video Streaming
ASJC Scopus subject areas
- General Computer Science