An Objective Perceptual Quality-Based ADTE for Adapting Mobile SVC Video Content

Kim, Cheon Seog; Sohn, Hosik; Neve, Wesley De; Ro, Yong Man

doi:10.1587/transinf.e92.d.93

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…[14][15][16][17]). Moreover, they can be used as a basis for developing objective video quality measures that automatically evaluate the quality of multimedia content as perceived by end-users (e.g.…”

Section: Discussionmentioning

confidence: 99%

Subjective quality assessment of scalable video coding: A survey

Lee

Simone

Ebrahimi

2011

2011 Third International Workshop on Quality of Multimedia Experience

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Scalable video coding is a promising solution for efficient video content distribution to users having heterogeneous network and terminal capabilities. Thanks to its inherent multidimensional adaptability, a scalable bit stream can be used to simultaneously transmit multiple video sequences having different bit rates to corresponding target users, without necessity of re-encoding or transcoding. In order to exploit such an advantage effectively, it is crucial to understand the effects of multidimensional scalability options on the perceived quality and the trade-off between the scalability dimensions through subjective quality assessment. This paper reviews existing studies aiming at achieving this goal in order to summarize their results and common findings.Index Terms-Scalable video coding, subjective quality assessment, quality of experience

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Section: Discussionmentioning

confidence: 99%

Subjective quality assessment of scalable video coding: A survey

Lee

Simone

Ebrahimi

2011

2011 Third International Workshop on Quality of Multimedia Experience

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“…Zhai et al [17], for example, propose an SVC-based live streaming system for wireless, heterogeneous clients, aiming at maximizing the QoE for the end user. Kim et al [6] go one step further and also move the decision for quality adaptations to a central component, basing adaptation decisions on estimations of the perceived quality. While these approaches show the potential of quality adaptations, in the work presented in this paper, the goal was to run the quality adaptations autonomously at the clients in a fully distributed scenario.…”

Section: Related Workmentioning

confidence: 99%

How to adapt: SVC-based quality adaptation for hybrid peercasting systems

Wichtlhuber

Rückert

Winter

et al. 2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

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Live streaming of large-scale events such as the Olympic Games with a huge number of viewers is challenging, as the streaming infrastructure needs to scale fast and big, and often in an unpredictable manner. Peer-to-peer (P2P) live streaming (Peercasting) has proven to be beneficial in these scenarios, as resources are scaling inherently with the number of nodes. However, churn behavior in a node's neighborhood may result in fluctuating downstream bandwidth and thus freezing (stalling) playback. Related work tries to mitigate this effect by using layered video codecs, focusing on single-dimensional scalability in mesh-pull based systems. Yet, the benefits of multidimensional scalability (resolution, frame rate, and quantization) combined with coexisting pull-/push mechanisms introduced by modern hybrid P2P streaming architectures have not been studied in detail. Consequently, this work proposes a new scheduling algorithm taking these aspects into account. The evaluation shows large benefits for end-users by reducing the frequency of stalls by 90% even under extreme conditions.

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“…In the context of the presented VoD scenario, it is assumed that content providers could do a pre-processing and this way profit from more sophisticated quality assessments. Furthermore, Kim et al [10] also proposed a SVC streaming system to maximize the QoE of the users. This approach builds on a centralized dissemination and decision taking approach, where a central entity estimates the perceived quality of a client by using own specialized objective QoE metrics and decides on switching to higher quality layers.…”

Section: Related Workmentioning

confidence: 99%

Quality Adaptation in P2P Video Streaming Based on Objective QoE Metrics

Rückert¹,

Abboud²,

Zinner³

et al. 2012

Networking 2012

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Abstract. The transmission of video data is a major part of traffic on today's Internet. Since the Internet is a highly dynamic environment, quality adaptation is essential in matching user device resources with the streamed video quality. This can be achieved by applying mechanisms that follow the Scalable Video Coding (SVC) standard, which enables scalability of the video quality in multiple dimensions. In SVC-based streaming, adaptation decisions have long been driven by Quality of Service (QoS) metrics, such as throughput. However, these metrics do not well match the way human users perceive video quality. Therefore, in this paper, the classical SVC-based video streaming approach is expanded to consider Quality of Experience (QoE) for adaptation decisions. The video quality is assessed using existing objective techniques with a high correlation to the human perception. The approach is evaluated in context of a P2P-based Video-on-Demand (VoD) system and shows that by making peers favor always layers with a high estimated QoE but not necessarily high bandwidth requirements, the performance of the entire system can be enhanced in terms of playback delay and SVC video quality by up to 20%. At the same time, content providers are able to reduce up to 60% of their server costs, compared to the classical QoS-based approach.

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An Objective Perceptual Quality-Based ADTE for Adapting Mobile SVC Video Content

Cited by 5 publications

References 10 publications

Subjective quality assessment of scalable video coding: A survey

Subjective quality assessment of scalable video coding: A survey

How to adapt: SVC-based quality adaptation for hybrid peercasting systems

Quality Adaptation in P2P Video Streaming Based on Objective QoE Metrics

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