Paper
2 February 2011 Estimating the impact of single and multiple freezes on video quality
S. van Kester, T. Xiao, R. E Kooij, K. Brunnström, O. K. Ahmed
Author Affiliations +
Proceedings Volume 7865, Human Vision and Electronic Imaging XVI; 78650O (2011) https://doi.org/10.1117/12.873390
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
This paper studies the impact of freezing of video on quality as experienced by users. Two types of freezes are investigated. First a freeze where the image pauses, so no frames were lost (frame halt). In the second type of freeze, the image freezes and skips that part of the video (frame drop). Measuring Mean Opinion Score (MOS) was done by subjective tests. Video sequences of 20 seconds were displayed for four types of content, to a total of 23 test subjects. We conclude there is no difference in the perceived quality between frame drops and frame halts. Therefore one model for single freezes was constructed. According to this model the acceptable freezing time (MOS>3.5) is 0.36 seconds. Pastrana - Vidal et al. (2004) suggested a relationship between the probability of detection and the duration of the dropped frames. They also found that it is important to consider not only the duration of the freeze but also the number of freeze occurrences. Using their relationship between the total duration of the freeze and the number of occurrences, we propose a model for multiple freezes, based upon our model for single freeze occurrences. A subjective test was designed to evaluate the performance of the model for multiple freezes. Good performance was found on this data i.e a correlation higher than 0.9.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. van Kester, T. Xiao, R. E Kooij, K. Brunnström, and O. K. Ahmed "Estimating the impact of single and multiple freezes on video quality", Proc. SPIE 7865, Human Vision and Electronic Imaging XVI, 78650O (2 February 2011); https://doi.org/10.1117/12.873390
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Cited by 30 scholarly publications and 1 patent.
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KEYWORDS
Video

Molybdenum

Distortion

Head

Solid modeling

Data modeling

Performance modeling

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