Quality perception of coding artifacts and packet loss in networked video communications

Kim, Soojin; Chae, Chan-Byoung; Lee, Jong-Seok

doi:10.1109/glocomw.2012.6477780

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…The research community has established a body of work that investigated several of the influencing factors [1] for QoE in video-conferencing. In the main focus are the system factors, with aspects like audio and video quality [6,14,40,43,62], audiovisual synchronization [58] and delay [51,59]. Further studies regarding non-technical influencing factors have looked into interaction [20,47,59], the user state, such as engagement [52] and contextual factors like different devices [10,66].…”

Section: Subjective Studies Investigating Qoe In Video-conferencingmentioning

confidence: 99%

The contrast effect: QoE of mixed video-qualities at the same time

2018

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In desktop multi-party video-conferencing videostreams of participants are delivered in different qualities, but we know little about how such composition of the screen affects the quality of experience. Do the different videostreams serve as indirect quality references and the perceived video quality is thus dependent on other streams in the same session? How is the relation between the perceived qualities of each stream and the perceived quality of the overall session? To answer these questions we conducted a crowdsourcing study, in which we gathered over 5000 perceived quality ratings of overall sessions and individual streams. Our results show a contrast effect: high quality streams are rated better when more low quality streams are co-present, and vice versa. In turn, the quality perception of an overall session can increase significantly by exchanging one low quality stream with a high quality one. When comparing the means of individual and overall ratings we can further observe that users are more critical when asked for individual streams than for an overall rating. However, the results show that while contrast effect exists, the effect is not strong enough, to optimize the experience by lowering the quality of other participants.

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Section: Subjective Studies Investigating Qoe In Video-conferencingmentioning

confidence: 99%

The contrast effect: QoE of mixed video-qualities at the same time

2018

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“…Our preliminary study [15] demonstrated existence of the interaction between the two artifacts in quality perception. Therefore, a systematic subjective quality assessment study is necessary so that the effect of the artifacts on the perceived quality can be quantitatively and qualitatively analyzed.…”

Section: Introductionmentioning

confidence: 96%

Subjective and objective quality assessment of videos in error-prone network environments

Kim

Chae

Lee

2015

Multimed Tools Appl

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Compression and transmission are two fundamental stages involved in wireless video communications, each of which may cause degradation of the quality of experience (QoE) of end users by producing compression artifacts and packet loss artifacts, respectively. They have their own unique perceptual influences. To provide insight for designing QoE-aware content delivery applications, this paper studies subjective and objective quality of videos containing both types of artifacts. First, subjective quality assessment is conducted, from which interaction between the two types of artifacts during quality perception is investigated. Second, using the subjective data, the performance of the state-of-the-art objective quality metrics is evaluated, with the aim of examining suitability of the existing metrics for their use in error-prone video communication applications. Finally, the developed data set is made publicly available for the community.

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