Performance Characterization of Low-Latency Adaptive Streaming From Video Portals
News-based websites and portals provide significant amounts of multimedia content to accompany news stories and articles. In this context, the HTTP adaptive streaming is generally used to deliver video over the best-effort Internet, allowing smooth video playback and an acceptable Quality Of Experie...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8425028/ |
| _version_ | 1818410546555256832 |
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| author | Jeroen van der Hooft Cedric De Boom Stefano Petrangeli Tim Wauters Filip De Turck |
| author_facet | Jeroen van der Hooft Cedric De Boom Stefano Petrangeli Tim Wauters Filip De Turck |
| author_sort | Jeroen van der Hooft |
| collection | DOAJ |
| description | News-based websites and portals provide significant amounts of multimedia content to accompany news stories and articles. In this context, the HTTP adaptive streaming is generally used to deliver video over the best-effort Internet, allowing smooth video playback and an acceptable Quality Of Experience (QoE). To stimulate the user engagement with the provided content, such as browsing between videos, reducing the videos' startup time has become more and more important: while the current median load time is in the order of seconds, research has shown that the user waiting times must remain below two seconds to achieve an acceptable QoE. In this paper, four complementary components are optimized and integrated into a comprehensive framework for low-latency delivery of news-related video content: 1) server-side encoding with short video segments; 2) HTTP/2 server push at the application layer; 3) server-side user profiling to identify relevant content for a given user; and 4) client-side storage to hold proactively delivered content. Using a large data set of a major Belgian news provider, containing millions of text and video-based article requests, we show that the proposed framework reduces the videos' startup time in different mobile network scenarios by over 50%, thereby improving the user interaction and skimming available content. |
| first_indexed | 2024-12-14T10:17:14Z |
| format | Article |
| id | doaj.art-45046ec25b864f0da29fcddf11ace0ef |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T10:17:14Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-45046ec25b864f0da29fcddf11ace0ef2022-12-21T23:06:44ZengIEEEIEEE Access2169-35362018-01-016430394305510.1109/ACCESS.2018.28630338425028Performance Characterization of Low-Latency Adaptive Streaming From Video PortalsJeroen van der Hooft0https://orcid.org/0000-0002-9416-9661Cedric De Boom1Stefano Petrangeli2Tim Wauters3Filip De Turck4Department of Information Technology, IDLab, Ghent University-imec, Ghent, BelgiumDepartment of Information Technology, IDLab, Ghent University-imec, Ghent, BelgiumDepartment of Information Technology, IDLab, Ghent University-imec, Ghent, BelgiumDepartment of Information Technology, IDLab, Ghent University-imec, Ghent, BelgiumDepartment of Information Technology, IDLab, Ghent University-imec, Ghent, BelgiumNews-based websites and portals provide significant amounts of multimedia content to accompany news stories and articles. In this context, the HTTP adaptive streaming is generally used to deliver video over the best-effort Internet, allowing smooth video playback and an acceptable Quality Of Experience (QoE). To stimulate the user engagement with the provided content, such as browsing between videos, reducing the videos' startup time has become more and more important: while the current median load time is in the order of seconds, research has shown that the user waiting times must remain below two seconds to achieve an acceptable QoE. In this paper, four complementary components are optimized and integrated into a comprehensive framework for low-latency delivery of news-related video content: 1) server-side encoding with short video segments; 2) HTTP/2 server push at the application layer; 3) server-side user profiling to identify relevant content for a given user; and 4) client-side storage to hold proactively delivered content. Using a large data set of a major Belgian news provider, containing millions of text and video-based article requests, we show that the proposed framework reduces the videos' startup time in different mobile network scenarios by over 50%, thereby improving the user interaction and skimming available content.https://ieeexplore.ieee.org/document/8425028/HTTP adaptive streamingHTTP/2 server pushH.264/AVCQuality of Experienceuser profiling |
| spellingShingle | Jeroen van der Hooft Cedric De Boom Stefano Petrangeli Tim Wauters Filip De Turck Performance Characterization of Low-Latency Adaptive Streaming From Video Portals IEEE Access HTTP adaptive streaming HTTP/2 server push H.264/AVC Quality of Experience user profiling |
| title | Performance Characterization of Low-Latency Adaptive Streaming From Video Portals |
| title_full | Performance Characterization of Low-Latency Adaptive Streaming From Video Portals |
| title_fullStr | Performance Characterization of Low-Latency Adaptive Streaming From Video Portals |
| title_full_unstemmed | Performance Characterization of Low-Latency Adaptive Streaming From Video Portals |
| title_short | Performance Characterization of Low-Latency Adaptive Streaming From Video Portals |
| title_sort | performance characterization of low latency adaptive streaming from video portals |
| topic | HTTP adaptive streaming HTTP/2 server push H.264/AVC Quality of Experience user profiling |
| url | https://ieeexplore.ieee.org/document/8425028/ |
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