In content-based video analysis, shot boundary detection is a common first step to segment video data into fundamental units of shots, each composing consecutive frames filmed with a single camera act. Many methods have been proposed in the literature for detection of shot boundaries. In this paper, we propose a new and effective post-refinement method on the detected shot boundaries by performing sequential detection of abrupt change in two underlying distributions. Experimental results show

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... at the proposed method can eliminate most false detections and also recover many missed detections from the original detected shot boundaries, attaining better detection performance.