Development of opinion-based audiovisual quality models for desktop video-teleconferencing

Jones, Coleen T.; Atkinson, David

doi:10.1109/iwqos.1998.675239

Cited by 30 publications

(24 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Passive tests are conducted by letting users rate the quality of video clips using video conferencing related content, for example [26], [27], [28]. As these tests have limited ecological validity, active studies have been proposed, where participants actually interact through the system.…”

Section: A Impact Of System Factors On Videoconferencing Qoe and Intmentioning

confidence: 99%

Towards Individual QoE for Multiparty Videoconferencing

Schmitt

Redi

Bulterman

et al. 2018

IEEE Trans. Multimedia

View full text Add to dashboard Cite

Abstract-Video-conferencing is becoming an essential part in everyday life. The visual channel allows for interactions which were not possible over audio-only communication systems such as the telephone. However, being a de-facto over-the-top service, the quality of the delivered video-conferencing experience is subject to variations, dependent on network conditions. Video-conferencing systems adapt to network conditions by changing for example encoding bitrate of the video. For this adaptation not to hamper the benefits related to the presence of a video channel in the communication, it needs to be optimized according to a measure of the Quality of Experience (QoE) as perceived by the user. The latter is highly dependent on the ongoing interaction and individual preferences, which have hardly been investigated so far. In this paper, we focus on the impact video quality has on conversations that revolve around objects that are presented over the video channel. To this end we conducted an empirical study where groups of 4 people collaboratively build a Lego® model over a video-conferencing system. We examine the requirements for such a task by showing when the interaction, measured by visual and auditory cues, changes depending on the encoding bitrate and loss. We then explore the impact that prior experience with the technology and affective state have on QoE of participants. We use these factors to construct predictive models which double the accuracy compared to a model based on the system factors alone. We conclude with a discussion of how these factors could be applied in real world scenarios.Index Terms-Multi-Party video conferencing, Quality of Experience, Over-the-top, subjective quality, quality metrics, user study

show abstract

Section: A Impact Of System Factors On Videoconferencing Qoe and Intmentioning

confidence: 99%

Towards Individual QoE for Multiparty Videoconferencing

Schmitt

Redi

Bulterman

et al. 2018

IEEE Trans. Multimedia

View full text Add to dashboard Cite

show abstract

“…In these experiments, three subjective assessments corresponding to AQ, VQ, and AVQ in Table 1 have been conducted. Most studies have shown that VQ dominates AVQ in general [30,32,33], while Hands [34] suggested that AQ is more important than VQ in a teleconference setup, because the human attention is mainly focused on the auditory stimulus. Winkler's experiments [35,36] have shown that more bits should be allocated to audio to achieve a higher overall quality in very low total bitrate budgets.…”

Section: Audio-visual Quality Evaluationmentioning

confidence: 99%

Perceptual-based quality assessment for audio–visual services: A survey

You¹,

Reiter²,

Hannuksela

et al. 2010

Signal Processing: Image Communication

118

View full text Add to dashboard Cite

“…In this case, a 5 and a 6 should change linearly with MOS A , while a 7 , and a 8 should change linearly with MOS V . However, experimental results show that the linearity in a 6 and a 8 is quite questionable, as shown in Fig. 5 and 6.…”

Section: Piecewise Characteristics Of Coefficients In G1070mentioning

confidence: 96%

Multimedia Quality Integration Using Piecewise Function

Wan

Yang

Zhou

2011

AEF

View full text Add to dashboard Cite

Abstract. In this paper the important issue of multimedia quality evaluation is concerned, given the unimodal quality of audio and video. Firstly, the quality integration model recommended in G.1070 is evaluated using experimental results. Theoretical analyses aide empirical observations suggest that the constant coefficients used in the G.1070 model should actually be piecewise adjusted for different levels of audio and visual quality. Then a piecewise function is proposed to perform multimedia quality integration under different levels of the audio and visual quality. Performance gain observed from experimental results substantiates the effectiveness of the proposed model.

show abstract

Development of opinion-based audiovisual quality models for desktop video-teleconferencing

Cited by 30 publications

References 1 publication

Towards Individual QoE for Multiparty Videoconferencing

Towards Individual QoE for Multiparty Videoconferencing

Perceptual-based quality assessment for audio–visual services: A survey

Multimedia Quality Integration Using Piecewise Function

Contact Info

Product

Resources

About