ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240)
DOI: 10.1109/icc.2001.937381
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Adaptive playout strategies for packet video receivers with finite buffer capacity

Abstract: Abstract-Due to random delay variations in current best effort networks, packet video applications rely on end-system buffering and playout adaptation to reduce the effects of disruptions on the required smooth stream presentation. To study the effect of buffering and playout adaptation, we present an analytical model based on the M/G/1 queueing system with finite buffer capacity and traffic intensity equal to or greater than unity. This model fits well a range of new applications that have limited buffer reso… Show more

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Cited by 32 publications
(29 citation statements)
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“…For example, the experiments in [12] assumed a send buffer size of fifty packets. The complexity of an adaptive rather than fixed-size play-out buffer [13], which can subsequently vary its size according to network conditions, may also deter mobile device implementation. Video smoothing was transferred to wireless networks in [14], given that the available bandwidth is even more subject to fluctuations than a fixed network.…”
Section: Related Workmentioning
confidence: 99%
“…For example, the experiments in [12] assumed a send buffer size of fifty packets. The complexity of an adaptive rather than fixed-size play-out buffer [13], which can subsequently vary its size according to network conditions, may also deter mobile device implementation. Video smoothing was transferred to wireless networks in [14], given that the available bandwidth is even more subject to fluctuations than a fixed network.…”
Section: Related Workmentioning
confidence: 99%
“…To study the buffer size required for removing the jitter in networks, Yuang et al [1996Yuang et al [ , 1997, Steinbach et al [2001], Kalman et al [2004], and Laoutaris and Stavrakakis [2001] present Markov chain models based on Poisson arrivals. However, in wireless networks, the arrival of streaming traffic cannot be simply modeled as a Poisson distribution because the capacity changes due to wireless rate adaptation algorithms produces variance in the streaming traffic arrival rate.…”
Section: Playout Buffer Optimizationmentioning
confidence: 99%
“…There are a variety of strategies proposed to improve the effectiveness of client-side buffering that include optimizing the buffer size based on jitter removal [Mundur et al 1999;Ramjee et al 1994; Moon et al 1998;Fujimoto et al 2002], slowing down the media playout rate at the client to reduce the consumption rate and help prevent buffer underflow [Yuang et al 1996;Steinbach et al 2001;Laoutaris and Stavrakakis 2001;Kalman et al 2004], and mitigating the buffer size required by VBR media codecs [Yuang et al 1997;Feng and Sechrest 1995]. Since VBR streaming smoothers usually have a static size based on the media codec, and the adaptive playout rate can be used as an additive for reducing the buffer underflow events in most streaming systems, most buffer optimization algorithms are primarily for jitter removal.…”
Section: Playout Buffer Optimizationmentioning
confidence: 99%
See 1 more Smart Citation
“…Entre los primeros podemos destacar [ALV93], [RAM93b], [KÖL94], [RAM94], [ROT95], [ISH95], [SHI95], [STO95], [BIE96], [GEY96], [KOU96], [LIU96], [ISH97], [ISH99], [ROT97], [MOO98], [XIE99], [BAL00], [GON00], [ISH01a], [KUO01], [LAO01a], [LAO01b], [ROC01], [JEO02] y [LAO02].…”
Section: Soluciones Particulares Al Problema De La Sincronización De mentioning
confidence: 99%