Gabor Moments Based Shot Boundary Detection

In this paper, we present a shot boundary detection method based on Gabor transformed first order moments. Unlike other approaches where gray scale images are considered for processing with huge feature space, we have worked in different colour spaces and found that only first order moments are good enough to capture the shot boundaries. In the proposed method, each frame of a given video is convolved with six differently oriented Gabor filter under each channel of a colour component and first order moments were computed which were used for shot boundary detection task. The subset of TRECVID 2001 dataset is considered for experimentation to evaluate the performance of the proposed method. A comparative analysis with some of the existing algorithms is also presented. In addition, we have conducted experimentation in different colour spaces to identify the suitable colour space in Gabor transformed domain for shot boundary detection task.