Distributed &amp;amp; adaptive HTTP streaming

Gouache, Stéphane; Bichot, Guillaume; Bsila, Amine; Howson, Christopher

doi:10.1109/icme.2011.6012028

Cited by 40 publications

(20 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method yields a stable buffer level; however, the video quality fluctuates. A smoothing strategy was adopted in [15] to solve the problem of fluctuations. However, this method reacts slowly to large fluctuations, which may result in playback freezes.…”

Section: Throughput Estimation Methodsmentioning

confidence: 99%

Towards Smooth and High-Quality Bitrate Adaptation for HTTP Adaptive Streaming

et al. 2016

View full text Add to dashboard Cite

show abstract

Section: Throughput Estimation Methodsmentioning

confidence: 99%

Towards Smooth and High-Quality Bitrate Adaptation for HTTP Adaptive Streaming

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Since only the above two schemes cannot provide the best system performance, to make the packet scheduling more flexible, many prior works have been carried out to select the most appropriate video presentation or even code the video source to match the time-varying channel states [7][8][9][10] or control the client buffer length [1]. However, none of them consider the status of MAC queue.…”

Section: Motivationmentioning

confidence: 99%

“…The authors showed the playback interruptions can be reduced by changing the QP (quantitative parameters) of the encoder to provide a presentation with a close coding rate to the estimation transmission rate. The authors in [9,10,30] formulated the video streaming process with multiple links. Gouache et al [9] provided a method to estimate the transmission rate of the next scheduling period which can be used to determine the data distribution among the servers.…”

Section: Related Workmentioning

confidence: 99%

“…The authors in [9,10,30] formulated the video streaming process with multiple links. Gouache et al [9] provided a method to estimate the transmission rate of the next scheduling period which can be used to determine the data distribution among the servers. In [10,30], it is assumed that each client receive the video data from different servers or the other clients in the system.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Content and buffer status aware packet scheduling and resource management framework for video streaming over LTE system

2017

J Image Video Proc.

View full text Add to dashboard Cite

With the development of the video encoding and wireless communication technologies, DASH (Dynamic Adaptive Streaming over HTTP) services have an increasing and great share of all the mobile services. However, we find some problems which still need to be addressed for DASH service optimization: (1) the limitation of the video segment representations cannot keep pace with the change of wireless channel states; (2) the characteristics of the video transmission have been not fully utilized in current DASH services; and (3) long interruption time will yield poor QoE (Quality of Experience). To solve these problems, we build a new transmission architecture by modifying the traditional TCP transmission flow. We first add a TCP (Transmission Control Protocol) proxy responsible for discarding the expiry packets automatically before putting them into the TCP sending window and then build a "ACK (acknowledgement) reconstruction module" to reconstruct the received ACK for concealing the packets discarded by the packet scheduler. Based on the new framework, we explore the interdependence among all the packets from the encoder to indicate the importance of each packet and update the interdependence relationship of every scheduling period based on the feedback ACK information. At MAC (Media Access Control) layer, a buffer status estimation module is employed to estimate the client buffer and playback information, which can be used to calculate the packet urgency. Then, a cross-layer design, which consists of an application layer of media server and client, TCP layer, MAC layer, and physical layer, is formulated and the packet scheduling and resource allocation can be jointly optimized. At client, through the analysis of the status of client buffer and MAC queue, an adaptive segment request scheme is developed to determine how and when to send the segment request. Simulation results show that the proposed algorithms can efficiently improve the received video quality as well as the playback continuity compared with other existing algorithms.

show abstract

“…These algorithms are typically based on parameters such as available bandwidth [11,12], throughput [13][14][15], round-trip time (RTT), the average download bit rate, the number and frequency of pauses during a time interval [16,12] that are related with buffering events [17], and the delay associated with user interactivity [18]. In [13], an architecture for DASH in a content distribution network (CDN) scenario is studied.…”

Section: Introductionmentioning

confidence: 99%

The impact of video-quality-level switching on user quality of experience in dynamic adaptive streaming over HTTP

Rodríguez

Wang

Rosa

et al. 2014

J Wireless Com Network

View full text Add to dashboard Cite

Dynamic adaptive streaming over HTTP (DASH) has become a promising solution for video delivery services over the Internet in the last few years. Currently, several video content providers use the DASH solution to improve the users' quality of experience (QoE) by automatically switching video quality levels (VQLs) according to the network status. However, the frequency of switching events between different VQLs during a video streaming session may disturb the user's visual attention and therefore affect the user's QoE. As one of the first attempts to characterize the impact of VQL switching on the user's QoE, we carried out a series of subjective tests, which show that there is a correlation between the user QoE and the frequency, type, and temporal location of the switching events. We propose a novel parameter named switching degradation factor (SDF) to capture such correlation. A DASH algorithm with SDF parameter is compared with the same algorithm without SDF. The results demonstrate that the SDF parameter significantly improves the user's QoE, especially when network conditions vary frequently.

show abstract

Distributed & adaptive HTTP streaming

Cited by 40 publications

References 7 publications

Towards Smooth and High-Quality Bitrate Adaptation for HTTP Adaptive Streaming

Towards Smooth and High-Quality Bitrate Adaptation for HTTP Adaptive Streaming

Content and buffer status aware packet scheduling and resource management framework for video streaming over LTE system

The impact of video-quality-level switching on user quality of experience in dynamic adaptive streaming over HTTP

Contact Info

Product

Resources

About