The effectiveness of a QoE-based video output scheme for audio-video ip transmission

Tasaka, Shuji; Yoshimi, Hikaru; Hirashima, Akifumi; Nunome, Toshiro

doi:10.1145/1459359.1459395

Cited by 28 publications

(17 citation statements)

References 4 publications

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“…A number of loss concealment schemes have been proposed, e.g., the intuitive frame copy method and the more sophisticated error resilient coding approach. In this case study, we evaluated two loss concealment schemes, namely the frame copy (FC) scheme and the frame copy with frame skip (FCFS) scheme [35], under different degrees of packet loss. The FC scheme conceals errors in a video frame by replacing a corrupted block with the block in the corresponding position in the previous frame.…”

Section: Loss Concealment Schemementioning

confidence: 99%

A crowdsourceable QoE evaluation framework for multimedia content

Chen

Chang

et al. 2009

Proceedings of the 17th ACM International Conference on Multimedia

166

156

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Until recently, QoE (Quality of Experience) experiments had to be conducted in academic laboratories; however, with the advent of ubiquitous Internet access, it is now possible to ask an Internet crowd to conduct experiments on their personal computers. Since such a crowd can be quite large, crowdsourcing enables researchers to conduct experiments with a more diverse set of participants at a lower economic cost than would be possible under laboratory conditions. However, because participants carry out experiments without supervision, they may give erroneous feedback perfunctorily, carelessly, or dishonestly, even if they receive a reward for each experiment.In this paper, we propose a crowdsourceable framework to quantify the QoE of multimedia content. The advantages of our framework over traditional MOS ratings are: 1) it enables crowdsourcing because it supports systematic verification of participants' inputs; 2) the rating procedure is simpler than that of MOS, so there is less burden on participants; and 3) it derives interval-scale scores that enable subsequent quantitative analysis and QoE provisioning. We conducted four case studies, which demonstrated that, with our framework, researchers can outsource their QoE evaluation experiments to an Internet crowd without risking the quality of the results; and at the same time, obtain a higher level of participant diversity at a lower monetary cost.

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Section: Loss Concealment Schemementioning

confidence: 99%

A crowdsourceable QoE evaluation framework for multimedia content

Chen

Chang

et al. 2009

Proceedings of the 17th ACM International Conference on Multimedia

166

156

View full text Add to dashboard Cite

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“…Narrow bandwidth and poor channel performance will result in a negative UX due to the distortions of video quality caused by the transmission (Bradeanu, Munteanu, Rincu & Geanta, 2006;Tasaka, Yoshimi & Hirashima, 2008). The data cost means not only the spent money on using the network, but also how much of a total available data amount has been used.…”

Section: Systemmentioning

confidence: 99%

“…Other effects such as video content types and video coding parameters have also been considered together with the network effect. For example, Tasaka, et al (2008) estimated QoE from the measured application-level QoS. The generated QoE metrics are for three content types: sports, animation, and music, and in the form of nonlinear equations with the indicators of error concealment ratio and MU (which refers to the information unit for transfer between the application layers) loss ratio.…”

Section: Qoe Metricsmentioning

confidence: 99%

Understanding User Experience of Mobile Video: Framework, Measurement, and Optimization

Song¹,

Tjondronegoro²,

Docherty³

2012

Mobile Multimedia - User and Technology Perspectives

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“…In ITU-T, QoE is defined as the overall acceptability of an application or service, as perceived subjectively by the end-users. In order to enhance QoE for audio-video IP transmission, Tasaka et al have proposed a video output scheme called SCS (Switching between error Concealment and frame Skipping) 3) . SCS utilizes the opposite features of error concealment and frame skipping; i.e., it is based on the trade-off relation between video spatial quality and temporal quality to maximize QoE.…”

Section: Introductionmentioning

confidence: 99%

[Paper] Threshold Selection Interfaces for the QoE-Based Video Output Scheme SCS

Nunome¹,

Tasaka²,

Toyosaki³

et al. 2014

MTA

Self Cite

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This paper proposes threshold selection interfaces for the video output scheme SCS (Switching between error Concealment and frame Skipping) in video-audio IP transmission. We conduct a subjective experiment with two threshold selection interfaces: the two mode method and the four mode method. The two interfaces are implemented with a handheld device. We then investigate the effect of user attributes on QoE. We compare the two methods with the 0 % method (pure frame skipping) and the 100 % method (pure error concealment). In the experiment, we utilize two content types: sport and drama. As a result, the threshold selection interfaces, in particular, the four mode method, achieves higher QoE than the other methods in sport. In addition, the user attributes affect preferred threshold values.

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The effectiveness of a QoE-based video output scheme for audio-video ip transmission

Cited by 28 publications

References 4 publications

A crowdsourceable QoE evaluation framework for multimedia content

A crowdsourceable QoE evaluation framework for multimedia content

Understanding User Experience of Mobile Video: Framework, Measurement, and Optimization

[Paper] Threshold Selection Interfaces for the QoE-Based Video Output Scheme SCS

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