Audiovisual Quality Assessment and Prediction for Videotelephony

Belmudez, Benjamin

doi:10.1007/978-3-319-14166-4

Cited by 23 publications

(24 citation statements)

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“…2 Here, similar effects to retrospective judgments of general experiences were investigated and observed (i.e., mainly recency effect and peak effect). Fundamental work was conducted by Hands and Avons [14] based on the beliefadjustment model [15].…”

Section: Perceived Quality Under Varying Performancementioning

confidence: 88%

“…For video sequences of up to 180 s duration, Hamberg and de Ridder [13] observed a recency effect and a peak effect while varying the duration of impairments from 2 to 10 s. With regard to shorter stimuli, effects on retrospective judgments tend to be unobservable (e.g., Ninassi et al [30] for 8 s video sequences). For (speech) telephony, mainly recency was investigated and observed (e.g., [2,7,8,13,27,34,43]). Also a peak effect was observed (e.g., [2,27,43]).…”

Section: Perceived Quality Under Varying Performancementioning

confidence: 99%

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Multi-episodic perceived quality for one session of consecutive usage episodes with a speech telephony service

et al. 2017

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The impact of varying performance and its effect on the perceived quality is an important aspect of quality of experience. Especially for service providers, it is important to understand how the perceived quality of a user, who is interacting with their services repeatedly, evolves. Repeateduse of a service is actually common for telecommunication services, such as speech telephony. For telecommunication services, it is very likely that a user encounters varying performance, for example due to varying network load conditions. For repeated-use taking place in a usage period covering several days, initial work on the formation process of the so-called multi-episodic perceived quality (i.e., distinct, meaningful interactions, denoted as usage episodes) has been conducted. In this paper, we present our work investigating the multi-episodic perceived quality for usage episodes taking place in one session (i.e., in a time frame of up to 45 min) with a speech telephony service. We investigate two aspects and their impact on the multi-episodic perceived quality: (a) increasing the number of low performance (LP) usage episodes and (b) varying the temporal position of LP usage episodes towards the assessment of multi-episodic perceived quality. Additionally, the impact of the user's behavioral freedom (i.e., two-party conversation vs. 3rd-party listening) on the two investigated aspects is examined. With regard to (a), the results show that an increasing number of LP usage episodes lead to a reduced multi-episodic perceived quality until saturation is reached. No impact of the user's behavioral freedom was found. For (b), an impact of the varied behavioral freedom was observed. Varying the temporal position had an impact on the multi-episodic perceived quality for two-party conversation. For 3rd-party-listening, this could only be observed in one out of two cases.

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Section: Perceived Quality Under Varying Performancementioning

confidence: 88%

Section: Perceived Quality Under Varying Performancementioning

confidence: 99%

Multi-episodic perceived quality for one session of consecutive usage episodes with a speech telephony service

et al. 2017

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“…The ITU has a recommendation for predicting the perceived quality of an audiovisual connection [49], but it requires a large amount of system specific parameters that need to be obtained in user studies for each use case. The method has recently been extended to integrate the encoding resolution and video size automatically [3]. Including user factor besides system factors has been used to improve the accuracy of models predicting QoE for video watching scenarios [6], [50].…”

Section: Prediction Of Videoconferencing Qoementioning

confidence: 99%

“…We adapted the ITU-T P.920 building blocks task [17], [20], [21] to a multiparty situation (and in particular, to parties of 4). Each participant was supplied with an unassembled Lego® locomotive 3 , and only part of the instructions to build it. Other participants had complementary parts of the instructions: so, to complete the model, participants had to communicate and share their part of the instructions.…”

Section: A Experimental Taskmentioning

confidence: 99%

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Towards Individual QoE for Multiparty Videoconferencing

Schmitt

Redi

Bulterman

et al. 2018

IEEE Trans. Multimedia

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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

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Quality of experience for unified communications: A survey

et al. 2019

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SummaryThis paper presents a quality of experience (QoE) conceptual model to the context of unified communications (UC) through summary, classification, and discussion of multiple influence factors (IFs) and dimensions affecting it. A deep and comprehensive understanding of the IFs and their impact on QoE for a given service is an essential precondition for successful QoE management with the overall goal of prominently optimizing end‐user QoE, while making efficient use of network resources and maintaining a satisfied user base. The proposed conceptual model was used to conduct a qualitative meta‐analytical review of selected papers. The results of the qualitative review include various IFs, QoE dimensions, and key findings in the form of research recommendations for QoE in the context of UC.

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Audiovisual Quality Assessment and Prediction for Videotelephony

Cited by 23 publications

References 0 publications

Multi-episodic perceived quality for one session of consecutive usage episodes with a speech telephony service

Multi-episodic perceived quality for one session of consecutive usage episodes with a speech telephony service

Towards Individual QoE for Multiparty Videoconferencing

Quality of experience for unified communications: A survey

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