Reducing Channel Zapping Time in a Personal IPTV System Based on User Behavior Prediction
Date Issued
2009
Date
2009
Author(s)
Cheng, Yang-Lin
Abstract
Internet protocol television (IPTV) is a system that provides various multimedia services based on broadband IP network. Unlike traditional television services, an IPTV system is always subject to bandwidth limitations, thus it can not broadcast all channels to subscribers at the same time. When a user decides to watch the channel from the current to another, he/she must re-request to the server for streaming content of this new channel. During this operation, there will be a time delay related to the channel change event, known as the channel zapping time. Due to the improvement of computational speed and stability of users’ PC in recent years, together with the contributions of open-source community, people can easily set up a personal IPTV system and share with their relatives and friends. However, the channel zapping time remains to be an important issue.o solve this problem, most previous studies have proposed to use prejoin (also named prebuffer in some documents) mechanism that accepts multiple channels at the same time. In this thesis, we first analyze the user behavior, and propose a model to describe this behavior. By this analysis, we proposed a prebuffer algorithm that can accurately predict the user behavior, and thus can effectively suppress the channel zapping time. We also introduce our NTU Campus IPTV system that combines the VOD, YouTube and other services. This system provides users an overview about what an integrated, interactive platform for home entertainment will be in the future.
Subjects
IPTV
channel zapping time
user behavior prediction
Type
thesis
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