Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 윤종원 | - |
dc.date.accessioned | 2023-12-22T02:11:13Z | - |
dc.date.available | 2023-12-22T02:11:13Z | - |
dc.date.issued | 2023-06 | - |
dc.identifier.citation | 2023년도 한국통신학회 하계종합학술발표회, Page. 1796.0-1797.0 | - |
dc.identifier.uri | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11487893 | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/187894 | - |
dc.description.abstract | An adaptive bitrate (ABR) algorithm aims to optimize video streaming quality. Although many works have been proposed for enhancing video quality, a deeper understanding is required due to the complexity of today's video streaming environment. In this paper, we propose to analyze the behavior and policies of existing ABR algorithms through measurements on large-scale network datasets. Furthermore, based on the results, we introduce a simple yet effective fused algorithm that combines the strengths of existing algorithms and evaluate its performance. | - |
dc.description.sponsorship | This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program(IITP-2023-2020-0-01741) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation) | - |
dc.language | en | - |
dc.publisher | 한국통신학회 | - |
dc.title | Deep Dive into Adaptive Video Streaming | - |
dc.title.alternative | 적응형 비디오 스트리밍 심층 분석 | - |
dc.type | Article | - |
dc.relation.page | 1796.0-1797.0 | - |
dc.relation.journal | 2023년도 한국통신학회 하계종합학술발표회 | - |
dc.contributor.googleauthor | 최완규 | - |
dc.contributor.googleauthor | 윤종원 | - |
dc.sector.campus | E | - |
dc.sector.daehak | 소프트웨어융합대학 | - |
dc.sector.department | 컴퓨터학부 | - |
dc.identifier.pid | jongwon | - |
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