Buffer-driven adaptive video streaming with TCP-friendliness

Lee, Sunhun; Chung, Kwangsue

doi:10.1016/j.comcom.2008.02.011

Cited by 16 publications

(8 citation statements)

References 17 publications

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“…The proposed scheme in [7] includes more sophisticated features that consider both network and user requirements. From the network viewpoint, the proposed mechanism estimates the TCP-friendly rate suitable for network status.…”

Section: Ii Related Workmentioning

confidence: 99%

Adaptive rate control scheme to improve QoS of multimedia streaming application

Lee

Hong

et al. 2012

The International Conference on Information Network 2012

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This paper presents an adaptive rate control scheme for streaming-based content sharing service which delivers multimedia contents from a user device to another device or seamlessly redirect streaming service across heterogeneous user devices. In proposed scheme, a streaming server adjusts video quality level according to the network and client status. Our scheme is different from other rate control schemes because the video quality at the server is decided not only based on the available bandwidth, but also on the device characteristics and bandwidth requirement at the access network. Through the simulation, we prove that our scheme improves the network stability and quality of streaming service by appropriately adjusting the quality of video stream.

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Section: Ii Related Workmentioning

confidence: 99%

Adaptive rate control scheme to improve QoS of multimedia streaming application

Lee

Hong

et al. 2012

The International Conference on Information Network 2012

Self Cite

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“…There are also schemes intended to control and reduce pause occurrence by using TCP-friendly stream rate adaptation to the changes in buffer occupancy [17] or optimizing TCP bandwidth allocation [18]. In [19] the buffer occupancy and network status have been used to evaluate and optimize the end user's perceived quality for video streaming, concerning the received video resolution levels but without considering continuity.…”

Section: Related Workmentioning

confidence: 99%

Model and Performance of a No-Reference Quality Assessment Metric for Video Streaming

Seyedebrahimi

Bailey

Peng

2013

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-Video streaming via TCP networks has become a popular and highly demanded service, but its quality assessment in both objective and subjective terms has not been properly addressed. In this paper, based on statistical analysis a full analytic model of a no-reference objective metric, namely Pause Intensity, for video quality assessment is presented. The model characterizes the video playout buffer behavior in connection with the network performance (throughput) and the video playout rate. This allows for instant quality measurement and control without requiring a reference video. Pause intensity specifically addresses the need for assessing the quality issue in terms of the continuity in the playout of TCP streaming videos, which cannot be properly measured by other objective metrics such as PSNR, SSIM and buffer underrun or pause frequency. The performance of the analytical model is rigidly verified by simulation results and subjective tests using a range of video clips. It is demonstrated that pause intensity is closely correlated with viewers' opinion scores regardless of the vastly different composition of individual elements, such as pause duration and pause frequency which jointly constitute this new quality metric. It is also shown that the correlation performance of pause intensity is consistent and content independent.

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“…Many adaptation methods have been conceived. Some of them are senderdriven [28], others are receiver-driven [31]. The decision sometimes uses sender buffer [39], sometimes receiver buffer [28].…”

Section: Introductionmentioning

confidence: 99%

“…Some of them are senderdriven [28], others are receiver-driven [31]. The decision sometimes uses sender buffer [39], sometimes receiver buffer [28]. Some methods need beforehand data [13]; as a consequence, no method can deal optimally with all types of video transmission such as videosurveillance, videoconference, VoD (video on demand).…”

Section: Introductionmentioning

confidence: 99%

A taxonomy of the parameters used by decision methods for adaptive video transmission

Dedu

Ramadan

Bourgeois

2013

Multimed Tools Appl

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International audienceNowadays, video data transfers account for much of the Internet traffic and a huge number of users use this service on a daily base. Even if videos are usually stored in several bitrates on servers, the video sending rate does not take into account network conditions which are changing dynamically during transmission. Therefore, the best bitrate is not used which causes sub-optimal video quality when the video bitrate is under the available bandwidth or packet loss when it is over it. One solution is to deploy adaptive video, which adapts video parameters such as bitrate or frame resolution to network conditions. Many ideas are proposed in the literature, yet no paper provides a global view on adaptation methods in order to classify them. This article fills this gap by discussing several adaptation methods through a taxonomy of the parameters used for adaptation. We show that, in the research community, the sender generally takes the decision of adaptation whereas in the solutions supported by major current companies the receiver takes this decision. We notably suggest, without evaluation, a valuable and realistic adaptation method, gathering the advantages of the presented methods

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Buffer-driven adaptive video streaming with TCP-friendliness

Cited by 16 publications

References 17 publications

Adaptive rate control scheme to improve QoS of multimedia streaming application

Adaptive rate control scheme to improve QoS of multimedia streaming application

Model and Performance of a No-Reference Quality Assessment Metric for Video Streaming

A taxonomy of the parameters used by decision methods for adaptive video transmission

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