Quality selection for Dynamic Adaptive Streaming over HTTP with Scalable Video Coding

Andelin, Travis; Chetty, Vasu; Harbaugh, Devon; Warnick, Sean; Zappala, Daniel

doi:10.1145/2155555.2155580

Cited by 52 publications

(46 citation statements)

References 8 publications

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“…The evolution of the variable bw k is modeled as a first-order discrete-time Markov chain, simulating the throughput changes in a real environment [6]. The proposed chain is made up of the M discrete bandwidth values for bw k and has a channel state-remaining probability of 0.8, whereas the transition probability to other channel states is 0.1 each.…”

Section: Stochastic Dynamic Programming Algorithmmentioning

confidence: 99%

Quality-optimization algorithm based on stochastic dynamic programming for MPEG DASH video streaming

Sánchez-García

Cabrera

García

2014

2014 IEEE International Conference on Consumer Electronics (ICCE)

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Abstract-In contrast to traditional push-based protocols, adaptive streaming techniques like Dynamic Adaptive Streaming over HTTP (DASH) fix attention on the client, who dynamically requests different-quality portions of the content to cope with a limited and variable bandwidth but aiming at maximizing the quality perceived by the user. Since DASH adaptation logic at the client is not covered by the standard, we propose a solution based on Stochastic Dynamic Programming (SDP) techniques to find the optimal request policies that guarantee the users' Quality of Experience (QoE). Our algorithm is evaluated in a simulated streaming session and is compared with other adaptation approaches. The results show that our proposal outperforms them in terms of QoE, requesting higher qualities on average.

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Section: Stochastic Dynamic Programming Algorithmmentioning

confidence: 99%

Quality-optimization algorithm based on stochastic dynamic programming for MPEG DASH video streaming

Sánchez-García

Cabrera

García

2014

2014 IEEE International Conference on Consumer Electronics (ICCE)

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“…Note that despite improvements, the performance differences between the full cache policy (best case) and empty cache policy (worst case) are relatively small. 4 This suggests that proxies, regardless of policy, can provide only very limited performance advantages in the case the client-proxy link is the bottleneck.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…In contrast, the basic best effort policy performs very similar to 4 To make sure that the small performance improvements were not due to optimizations made at the server we took a closer look at the service times of individual fragments, when served by the server or the (full) proxy cache respectively. In fact, for the case with the same RTT to both the server and the proxy, we observed a smaller time to first byte (x = 8.30ms; σ = 15.03ms) for the full cache than for the server (x = 16.10ms; σ = 7.85ms).…”

Section: Performance Evaluationmentioning

confidence: 99%

“…Other works have taken a closer look at the rate adaptation algorithms [18], quality selection policy when using scalable video codes [4], the performance at the servers under HAS workloads [26], the traffic patterns they generate [21], or the impact of competing players and/or TCP flows [2], [11]. Finally, Guota et al [14] characterize the caching opportunities of HAS content in a national mobile network.…”

Section: Related Workmentioning

confidence: 99%

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Helping Hand or Hidden Hurdle: Proxy-Assisted HTTP-Based Adaptive Streaming Performance

Krishnamoorthi

Carlsson

Eager

et al. 2013

2013 IEEE 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems

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Abstract-HTTP-based Adaptive Streaming (HAS) has become a widely-used video delivery technology. Use of HTTP enables relatively easy firewall/NAT traversal and content caching. While caching is an important aspect of HAS, there is not much public research on the performance impact proxies and their policies have on HAS. In this paper we build an experimental framework using open source Squid proxies and the most recent Open Source Media Framework (OSMF). A range of contentaware policies can be implemented in the proxies and tested, while the player software can be instrumented to measure performance as seen at the client. Using this framework, the paper makes three main contributions. First, we present a scenariobased performance evaluation of the latest version of the OSMF player. Second, we quantify the benefits using different proxyassisted solutions, including basic best effort policies and more advanced content quality aware prefetching policies. Finally, we present and evaluate a cooperative framework in which clients and proxies share information to improve performance. In general, the bottleneck location and network conditions play central roles in which policy choices are most advantageous, as they significantly impact the relative performance differences between policy classes. We conclude that careful design and policy selection is important when trying to enhance HAS performance using proxy assistance.

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“…A number of studies have suggested enhancements to DASH, including novel rate adaptation algorithms [5]- [7], methods for determining optimal segment duration [8], extensions to SVC video [9]- [11], peer-assisted delivery of DASH video [12], and the addition of QoE-aware proxies in the content delivery network to improve DASH performance [13]- [15]. Others have considered the problem of delivering DASH video at an acceptable quality over wireless networks, but with respect to aggregate cell performance rather than the experience of an individual user [16], [17].…”

Section: Related Workmentioning

confidence: 99%

Performance of DASH and WebRTC Video Services for Mobile Users

Fund

Wang

Liu

et al. 2013

2013 20th International Packet Video Workshop

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Abstract-With the confluence of the growing market for mobile Internet devices, and users' expectations of instant access to high-quality multimedia content, the delivery of video over wireless networks has become the challenge of the decade. Dynamic Adaptive Streaming over HTTP (DASH) and WebRTC are new and evolving standards that have been developed specifically to meet this demand and enable a high-quality experience for mobile users of video on demand and real time communication services, respectively. However, there has been no systematic study of how these services are experienced by users in a realistic mobile setting. In this work, we describe measurements collected from DASH and WebRTC implementations while moving at walking speeds through an 802.16e WiMAX network. Using data from the application, network, and physical layers, in different wireless environments, we identify characteristics of the cellular data network that directly impact the quality of video service, and suggest areas for further improvement.

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Quality selection for Dynamic Adaptive Streaming over HTTP with Scalable Video Coding

Cited by 52 publications

References 8 publications

Quality-optimization algorithm based on stochastic dynamic programming for MPEG DASH video streaming

Quality-optimization algorithm based on stochastic dynamic programming for MPEG DASH video streaming

Helping Hand or Hidden Hurdle: Proxy-Assisted HTTP-Based Adaptive Streaming Performance

Performance of DASH and WebRTC Video Services for Mobile Users

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