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무선 채널 환경에서 버스트 에러에 강인한 SVC 오류 은닉에 관한 연구

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Author(s)
기근영
Issued Date
2013
Abstract
Scalable Video Coding (SVC) is a video codec which provides various media services through scalability in variety of mobile environments. For the scalability issues of MPEG, SVC inherited MPEG expansion format and provides a high scalability by developing efficient base and enhancement layer. Since the enhancement layers of SVC can be adaptively determined by neighboring channel environment, computing power, and resolution of the mobile device, its scalability can be useful in the current heterogeneous wireless network. But, the reliable streaming video transmission can't be satisfied with only the scalability of streaming video in SVC. Thus, error concealment techniques have been introduced into SVC to reduce the quality degradation caused by transmission error. But, the traditional error concealments have still shown vulnerable to burst errors. In this paper, we show the analysis of the error concealments and introduce a new error concealment strongly robust to burst errors. And simulation result showed that proposed error concealment achieved better performance from about 3% to 8% in terms of SVC error concealment.
Alternative Title
Research on SVC Error Concealment Robust to Bursty Errors over Wireless Channel Environment
Alternative Author(s)
Kee, Guen Young
Affiliation
조선대학교 대학원
Department
일반대학원 정보통신공학과
Advisor
변재영
Awarded Date
2013-08
Table Of Contents
목 차

그 림 목 차 ⅱ
표 목 차 ⅳ
ABSTRACT ⅴ

Ⅰ. 서 론 1
A. 연구 배경 1
B. 연구 목적 2
C. 논문 구성 2
II. H.264/SVC의 개념 3
A. H.264/SVC 3
B. H.264/SVC의 구조 및 특징 4
C. H.264/SVC 응용분야 4
Ⅲ. 오류 은닉 방법 6
A. 오류 은닉 개요 6
B. 기존의 오류 은닉 방법 6
C. SVC에서의 오류 은닉 방법 8
Ⅳ. 제안한 오류 은닉 방법 12
A. SVC 오류 은닉 방법의 문제점 12
B. AES 오류 은닉 방법 13
Ⅴ. 실험 결과 17
A. 실험 방법 17
B. 실험 비교 분석 및 결과 18
Ⅵ. 결론 및 향후 연구과제 37
참고문헌 38
Degree
Master
Publisher
조선대학교 대학원
Citation
기근영. (2013). 무선 채널 환경에서 버스트 에러에 강인한 SVC 오류 은닉에 관한 연구.
Type
Dissertation
URI
https://oak.chosun.ac.kr/handle/2020.oak/9918
http://chosun.dcollection.net/common/orgView/200000263984
Appears in Collections:
General Graduate School > 3. Theses(Master)
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