Universal Windows Platform Application for Streaming Analysis

International Journal of Communication and Media Science
© 2018 by SSRG - IJCMS Journal
Volume 5 Issue 1
Year of Publication : 2018
Authors : Sagar M V and Dr. P Jayarekha
pdf
How to Cite?

Sagar M V and Dr. P Jayarekha, "Universal Windows Platform Application for Streaming Analysis," SSRG International Journal of Communication and Media Science, vol. 5,  no. 1, pp. 6-10, 2018. Crossref, https://doi.org/10.14445/2349641X/IJCMS-V5I1P102

Abstract:

The internet is becoming viral and vital now a days so the applications needs to support on different platforms to serve the users, with that video streaming is one of the fast growing technology with dynamic adaptive streaming over HTTP (DASH), so there is a need to monitor the streaming on different devices, in which by considering the Download Rate and Playback Rate of the stream analysis the performance of the streaming with respect to different conditions by developing the universal windows platform application. As developer should develop application for different platforms it needs time and cost so in order to avoid these latencies of production of application Microsoft provides the Universal Windows Platform where developer can develop application and run on different platform. With this approach the proposed system is developed to analyze the streaming process

Keywords:

DASH, Adaptive, Streaming, UWP, Bitrate.

References:

[1] Desheng Wang “Adaptive Wireless Video Streaming based on Edge Computing: Opportunities and Approaches” IEEE, vol. 7, no. 4, pp. 26–28. 
[2] Ahmed H. Zahran, Darijo Raca, Stephanie Rich, and Zhongju Zhang, (2005), “ARBITER+: Adaptive Rate Based InTElligent HTTP StReaming Algorithm for Mobile Networks”, IEEE, Blacksburg. 
[3] Shungo Mori, Masaki Bandai “QoE-aware Quality Selection Method for Adaptive Video Streaming with Scalable Video Coding” IEEE, vol. 7, no. 4, pp. 26–28.. 
[4] Xue Zhang, Laura Toni, “Adaptive Streaming in Interactive Multiview Video Systems”, IEEE Tracnsaction.. 
[5] Venkata Phani Kumar M, “Quality of Experience Driven Rate Adaptation for Adaptive HTTP Streaming”, IEEE, vol. 7, no. 4, pp.2018