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An integrated functionality framework for robust video streaming heterogeneous networks
- 1 Rajarajeswari College of Engineering and Technology
- 2 Hanyang University
- 3 Vellore Institute of Technology
- 4 Vellore Institute of Technology
- 5 Vellore Institute of Technology
* Author to whom correspondence should be addressed.
Abstract
Video streaming is one of the drastically growing applications and more researchers are focused on their researchers in same. All over the world, the cost of video streaming process is increased up to 37$ billion. Even though video streaming process meets various problems like time, Bit Rate Error (BER) and buffers usage with cost. To provide solution to the above issues, this paper proposed an integrated framework to provide a video streaming method by increased Quality of Service (QoS). The proposed framework integrates (Integrated Framework – IF) a popular standard named H.264/AVC video coding and efficient QoE prediction on similar frames in the video. Using the framework, a QoS based video streaming method is proposed, whereas the packet loss is reduced significantly including extra BER value for the channel coding. From the simulation results it is illustrated that high flexibility and efficacy of the proposed framework is more effective in terms of preventing from frequent loss of frames.
Keywords
video streaming, video compression, quality of service, quality of experience, key frame detection
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Cite this article
Kirubha,D.;E.,S.V.;V.,B.B.;V.,M.;M.,P. (2023). An integrated functionality framework for robust video streaming heterogeneous networks. Applied and Computational Engineering,6,1400-1405.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 3rd International Conference on Signal Processing and Machine Learning
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