원격 의료 진단 시스템을 위한 사용자 기반 적응 대역폭 비디오 시스템

• 영문명: A User Driven Adaptable Bandwidth Video System for Remote Medical Diagnosis System
• 발행기관: 한국IT서비스학회
• 저자명: 정영지(Yeong jee Chung) 더스틴 라이트(Dustin Wright) 유수프 어즈터크(Yusuf Ozturk)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제14권 제1호, 99~113쪽, 전체 15쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2015.03.30

영문 초록

Adaptive bitrate (ABR) streaming technology has become an important and prevalent feature in many multimedia delivery systems, with content providers such as Netflix and Amazon using ABR streaming to increase bandwidth efficiency and provide the maximum user experience when channel conditions are not ideal. Where such systems could see improvement is in the delivery of live video with a closed loop cognitive control of video encoding. In this paper, we present streaming camera system which provides spatially and temporally adaptive video streams, learning the user's preferences in order to make intelligent scaling decisions. The system employs a hardware based H.264/AVC encoder for video compression. The encoding parameters can be configured by the user or by the cognitive system on behalf of the user when the bandwidth changes. A cognitive video client developed in this study learns the user's preferences (i.e. video size over frame rate) over time and intelligently adapts encoding parameters when the channel conditions change. It has been demonstrated that the cognitive decision system developed has the ability to control video bandwidth by altering the spatial and temporal resolution, as well as the ability to make scaling decisions

목차

Abstract

1. 서론

2. H.264 패킷화 및 프레임 인코딩

3. 스케일 가변적 비디오 코딩과 단일 계층 비디오 스트림

4. 시스템 구조

5. 스냅드래곤 비디오 프레임 워크

6. 사용자 프로파일과 대역폭 최적화

7. 실험 결과 및 고찰

8. 결론

References

키워드

Multimedia Communication Bandwidth Adaptation Machinf Learning User Preferences