ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article Reducing Channel Zapping Time in IPTV Based on User's Channel Selection Behaviors
Cited 45 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Chae Young Lee, Chang Ki Hong, Kang Yong Lee
Issue Date
2010-09
Citation
IEEE Transactions on Broadcasting, v.56, no.3, pp.321-330
ISSN
0018-9316
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/TBC.2010.2051494
Abstract
Channel zapping time is a crucial issue in Internet Protocol Television (IPTV) Quality of Experience (QoE) performance. One way to reduce channel zapping time is a predictive tuning method, which reduces channel zapping time by prejoining channels that are likely to be selected next, in addition to the currently watched channel. This paper presents an improved predictive tuning method that satisfies required channel zapping time with minimized bandwidth usage. Unlike existing methods, the proposed method determines the most efficient number of prejoining channels in a surfing period and in a viewing period differently by estimating expected channel zapping time and expected bandwidth usage with a Semi-Markov Process. We also propose a prejoining channel selection method according to the combined button and channel preference. Mathematical model and simulation show that the proposed method achieves the required channel zapping time with less bandwidth consumption and a more stable network than previous works. © 2006 IEEE.
KSP Keywords
Bandwidth usage, Channel selection method, Channel zapping, Internet Protocol(IP), Internet Protocol Television(IPTV), Mathematical model, Model and Simulation, Quality-of-experience(QoE), Semi-Markov Process, Tuning method, Zapping time