Experimental Comparison of Video Streaming Platforms and Devices with Objective Quality of Experience Metrics Towards Reliable Multimedia Applications in Education

Adetiba, E. and Akanle, M.B. and Babalola, Daniel T. and Akande, Victor and Sheidu, Peter and Ariyo, Bolaji and Thakur, Surendra and Kala, Jules Raymond (2019) Experimental Comparison of Video Streaming Platforms and Devices with Objective Quality of Experience Metrics Towards Reliable Multimedia Applications in Education. In: International Conference on Engineering for Sustainable World, 2019, Online.

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Abstract

This paper presents the result of experimental comparison of the video quality of streamed videos using streaming devices and streaming platforms. The objective metrics considered for the comparison of these media are the Peak Signal-to-Noise Ratio (PSNR), Structural Similarity (SSIM), Visual Information Fidelity (VIF), Information Fidelity Criterion (IFC), and Visual Signal-to-Noise Ratio (VSNR). To determine the better platform for effective multimedia applications especially for educational purposes, videos were obtained and streamed via Data video, YouTube and Facebook. In the first two scenarios, Data video at two different settings were engaged at the encoding end and PotPlayer was used for decoding and recording of the transmitted videos. In the third and fourth scenarios, Videos were streamed via YouTube and Facebook. The aforementioned objective metrics were implemented in MATLAB R2017b for the experimental analyses and our results showed that YouTube produced streamed videos of the best quality with PNSR of 37.98, SIMM of 0.98 and VSNR of 33.12.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Video Quality, Video Streaming, Streaming Platform, Streaming Device, Datavideo, YouTube, Facebook
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Patricia Nwokealisi
Date Deposited:	01 Nov 2024 16:15
Last Modified:	01 Nov 2024 16:15
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/18551

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