KIISE Transactions on Computing Practices (정보과학회 컴퓨팅의 실제 논문지)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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Quality Adaptation Scheme for Improving QoE of DASH-based VBR Video Streaming Service

DASH 기반 VBR 비디오 스트리밍 서비스의 QoE 향상을 위한 품질 적응 기법

  • 윤두열 (광운대학교 전자통신공학과) ;
  • 정광수 (광운대학교 전자통신공학과)
  • Received : 2014.09.05
  • Accepted : 2014.11.13
  • Published : 2015.01.15
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Abstract

There are many current researches that are looking to improve the quality of HTTP adaptive streaming services. However, the existing schemes have a serious problem of QoE (Quality of Experience) degradation because few consider VBR video transmission. To cope with this problem, in this paper, we proposed a novel media quality adaptation scheme called CB-DASH (Content and Buffer-aware DASH). The proposed scheme controlled the video quality considering the VBR characteristics of video and the client's buffer state. Through the simulation, we proved that our scheme accomplished a more accurate estimated bandwidth than the conventional DASH and improved the QoE of streaming service.

HTTP 적응적 스트리밍 서비스의 품질을 향상시키기 위한 연구가 활발히 진행되고 있다. 그러나 기존 HTTP 적응적 스트리밍 기술은 VBR 비디오 전송에 대한 고려가 부족하여, 스트리밍 서비스의 QoE가 저하되는 문제점이 있다. 본 논문에서는 이러한 문제점을 해결하기 위해, CB-DASH (Content and Buffer-aware DASH)라는 DASH 기반의 새로운 품질 적응 기법을 제안한다. 제안하는 기법은 비디오의 VBR 특성과 클라이언트 버퍼 상태를 고려하여 비디오 품질을 조절한다. 시뮬레이션 결과를 통해 제안한 기법의 정확한 대역폭 예측 및 QoE 향상을 확인하였다.

Keywords

Acknowledgement

Grant : 방송용 영상 인식 기반 객체 중심 지식융합 미디어 서비스 플랫폼 개발

Supported by : 미래창조과학부

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