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 relations ip 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.