NDLI: A comparison of HAS behavior in the high definition and ultra high definition context

Content Provider	IEEE Xplore Digital Library
Author	Zach, O. Slanina, M.
Copyright Year	2015
Description	Author affiliation: Dept. of Radio Electron., Brno Univ. of Technol., Brno, Czech Republic (Zach, O.; Slanina, M.)
Abstract	Video content represents majority of the data available on the Internet. Streaming services like YouTube, Vimeo, NetFlix and others generate more than 60% of the overall Internet traffic, according to recent studies. This results in high demands on the quality of the broadband connection. The user usually wants to get the highest media quality, no matter the quality of the connection. This is where the HTTP Adaptive Streaming (HAS) comes into the game. This service enables to maintain the highest media quality possible to offer the user the best quality of experience (QoE). In this paper, we focus on the evaluation of streaming Ultra HD video content using HAS. We evaluate the difference of the QoE for HD and Ultra HD streaming with High Efficiency Video Coding. For this purpose, we created a database of HEVC coded videos of different contents. These were then used in five different HAS scenarios (sudden quality change at the end, sudden quality change in the middle of the sequence, moderate quality changes, gradual quality drop-down and constant high quality for benchmark). HAS sequences were then used in assessed subjective quality test. According to the results, the Ultra HD outperforms the high definition in the terms of perceived subjective quality when used in HAS.
Starting Page	305
Ending Page	308
File Size	981687
Page Count	4
File Format	PDF
ISBN	9781479981175
e-ISBN	9781479981199
DOI	10.1109/RADIOELEK.2015.7129041
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-21
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	UHD TV Quality of Experience Bit rate Transform coding QoE HTTP Adaptive Streaming Games Encoding HEVC HAS High definition video
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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