engleski

Shot Boundary Detection in Soccer Video using Twin-comparison Algorithm and Dominant Color Region

First step in generic video processing is temporal segmentation, i.e. shot boundary detection. Camera shot transitions can be either abrupt (i.e. cuts) or gradual (i.e. fades, dissolves, wipes). Sports video is one of the most challenging domains for robust shot boundary detection. We proposed a shot boundary detection algorithm for soccer video based on the twin comparison method and absolute difference betwen frames in their ratios of dominant colored pixels to total number of pixels. With this approach we wanted to improve detection of gradual transitions, i.e decrease number of false positives caused by some camera operations. We also compared performances of our algorithm and standard twin comparison method

Video segmentation; cut detection; gradual transition detection; dominant color region; twin comparison algorithm

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