Real-time video traffic control based on time-varying channel rate and source complexity시변하는 채널률과 영상의 복잡도를 고려한 실시간 비디오 전송 제어

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The main technical issue of real-time video communication is clearly the quality adaptation method, which is required to provide acceptable level of decoded video quality and the end-to-end delay guarantee. There are two time-varying factors to affect the performance of video transmission systems. The one is the time-varying effective channel rate. The other is the time-varying statistics of source traffic. It is due to the changes in the scene contents over long period of time. Thus, it is needed to consider both time-varying factors in encoding and transmission control process to guarantee the end-to-end delay and acceptable level of perceived quality. In this dissertation, we propose an explicit rate decision algorithm at the bottleneck switch and an adaptive video frame rate control method to adapt to the time-varying channel rate. Also, we propose a source traffic prediction method and a preventive channel rate decision algorithm to consider the time-varying statistics of source traffic in dynamic bandwidth allocation environment. First, a model of video transmission systems over explicit rate networks is presented and analyzed under the end-to-end delay constraint. It is shown that decoder buffer underflow is the major element to be prevented and that it should be done by controlling explicit rate feedback from the bottleneck switch. An upper bound of explicit rate is derived for single feedback connection which guarantees the end-to-end delay. It is obtained by using the state of leaky-buckets of high-priority connections and video service buffer occupancy. The same explicit rate decision mechanism can be applied to multiple feedback connections with different delay constraints by separating each connection according to the service policy. Secondly, an adaptive video frame rate control method, called AFCON, is proposed that video encoders use in conjunction with explicit rate based congestion control in the network. An encoder buffer constraint which...
Advisors
Kim, Jae-Kyoon김재균
Description
한국과학기술원 : 전기및전자공학전공,
Publisher
한국과학기술원
Issue Date
2001
Identifier
169589/325007 / 000965277
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 전기및전자공학전공, 2001.8, [ xii, 127 p. ]

Keywords

Video Source Complexity; Video Traffic Control; Time-varying Channel Rate; 시변하는 채널률; 영상의 복잡도; 비디오 전송 제어

URI
http://hdl.handle.net/10203/35960
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=169589&flag=dissertation
Appears in Collection
EE-Theses_Ph.D.(박사논문)
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