| University of Sheffield at TRECVID 2007: Shot Boundary Detection and Rushes Summarisation (2008) | |||||||||||||||
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| This year we conducted experiments on shot boundary detection and rushes video summarisation. For the shot boundary determination task, we focused on detection of ‘cut’. The approach calculated the ‘exclusive or’ of two frames in the grey scale in order to measure the amount of discontinuity at a pixel level between two shots. Five runs were submitted with different sets of parameters, resulting in the performance of as high as 87 % recall and 85 % precision. For the rushes video task, the summary duration was fixed at 4 % of the video length. We joined a number of continuous frames that were extracted from the middle of each shot detected. We submitted a single run, resulting in the average level performance. 1 Shot Boundary Detection Shot boundary detection is a process of identifying boundaries between shots from a sequence of video frames. The key idea is to choose a right set of features and measures that capture the dissimilarity between shots. The difference between adjacent frame pair is calculated from features. A shot boundary is assigned when the value is greater than a predefined thresholds. To date there have been a large number of shot boundary detection algorithms proposed (Pye et al., 1998; | |||||||||||||||
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