Receiver-buffer-driven approach to adaptive Internet video streaming

Ye, Dejian; Wu, Qian; Zuo, Zhuang

doi:10.1049/el:20020941

Cited by 5 publications

(4 citation statements)

References 3 publications

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“…During the ramping of the buffer, we can define β[n] as the buffer we would like to have by the time all the information for chunks up to and including n has been downloaded, that is we want β[n] to be larger than or equal to the quantity in equation (3). From this,…”

Section: A Obtaining the Rate Constraintsmentioning

confidence: 99%

“…As the network bandwidth changes, the client switches to different bitrate streams [1]. As a followup to this, other works have proposed better bitrate adaptation strategies to optimize for startup latency as well as allow the client buffer fullness to follow some desired target schedule [2], [3]. However, the bitrate adaptation techniques developed so far have only attempted to satisfy the rate constraints (network bandwidth, desired startup latency, desired buffer size).…”

Section: Introductionmentioning

confidence: 99%

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Rate-distortion optimized client side rate control for adaptive media streaming

Mehrotra

Zhang

2009

2009 IEEE International Workshop on Multimedia Signal Processing

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Media streaming over unreliable networks such as the Internet is growing in popularity, but presents unique challenges when trying to get the user experience to be on par with classical mediums such as cable television. These networks have variable network conditions which not only vary between a set of points in the network, but also change over time. In this paper, we present a rate-distortion (R-D) optimized algorithm for adapting the bitrate of streaming media from a chunked encoding, where each chunk is available at multiple bitrates (or quality levels) or is scalable coded. The optimization takes into account the desired startup latency, the desired client buffer size, the current client buffer size, and the estimated network bandwidth. The problem is formulated as a distortion minimization problem subject to multiple rate constraints. For video content, the solution gives a gain of up to 3-4dB in PSNR in difficult portions of the video when compared to commonly used adaptation techniques and can achieve an arbitrarily small desired startup latency.

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Section: A Obtaining the Rate Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rate-distortion optimized client side rate control for adaptive media streaming

Mehrotra

Zhang

2009

2009 IEEE International Workshop on Multimedia Signal Processing

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“…There exist some proposals on video transmission that present some techniques on transcoding that consider buffer management, such as [17], [18]. Although it has similarity, the main purpose of the buffer management in those references is mainly to prevent the decoder buffer from underflow and overflow.…”

Section: Introductionmentioning

confidence: 99%

Transcoding-after-Smoothing System for VBR MPEG Video Streaming

Nugraha

Morita

2009

IEICE Trans. Inf. & Syst.

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SUMMARYDelivering video streaming service over the Internet encounters some challenges. Two of them are heterogeneity of networks capacity and variability of video data rate. The capacity of network segments are constrained. Meanwhile, the rate of video data to be transmitted is highly variable in order to get near-constant images quality. Therefore, to send variable bit rate (VBR) video data over capacity-constrained network, its bit rate should be adjusted. In this paper a system to adjust the transmission bit rate of VBR MPEG video data called Transcoding-afterSmoothing (TaS), which is a combination of bit rate transcoding and bit rate smoothing algorithm, is proposed. The system smoothes out transmission rate of video data while at the same time also performs transcoding on some video frames when necessary in order to keep the transmission bit rate below a certain threshold value. Two kinds of TaS methods are proposed. One method does not have transcoding preference, while the other method uses frame type preference where an intra-coded frame is the last one that will be transcoded. These methods are implemented in our video server where a VBR video data is accessed by a client. Our experiment results show that the first TaS method yields significant reduction in the number of transcoded frames compared with the second TaS method and conventional frame-level transcoding. However, the second method performs better in minimizing the quality distortion. key words: variable bit rate video streaming, bit rate smoothing, bit rate transcoding

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“…Furthermore, the playtime stored inside the receiver buffer is not considered which leads to loss in control of the multimedia dropout problem. To remedy the problem, a receiver-buffer-driven scheme was proposed in [6] to keep the stored playtime steady inside the receiver buffer. It can also be used to prevent the buffer overflow or underflow.…”

Section: Introductionmentioning

confidence: 99%

Receiver-Buffer-Driven Layered Quality Adaptation for Multimedia Streaming

Wang¹,

Chan²,

Kok³

Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.

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A novel receiver-buffer-driven layered quality adaptation mechanism is proposed for multimedia streaming over the Internet. The receiver constantly monitors its buffer occupancy and initiates quality adaptation by sending back the request command to the sender when its buffer occupancy is out of range. The sender then adjusts the quality and the amount of layered multimedia packets to be sent out according to the requests. Simulation results show that by using the proposed mechanism, a steady buffer occupancy and overall quality improvement for the multimedia streams can be achieved. Moreover, an efficient utilization of network resources is ensured by using the spare time in the time window to transmit more higher level enhancement layer packets.From eq.(3) and Chebyshev inequality, the following equation is computed,where σ 2 J is the variance of delay jitter. Then,

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Receiver-buffer-driven approach to adaptive Internet video streaming

Cited by 5 publications

References 3 publications

Rate-distortion optimized client side rate control for adaptive media streaming

Rate-distortion optimized client side rate control for adaptive media streaming

Transcoding-after-Smoothing System for VBR MPEG Video Streaming

Receiver-Buffer-Driven Layered Quality Adaptation for Multimedia Streaming

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