An adaptive Shot Change Detection algorithm using an average of absolute difference histogram within extension sliding window
Wonhee Kim, Jong‐Nam Kim · 2009
Shot change detection is a main technique for automatic temporal segmentation of video, which requires adaptive adjustment of thresholds. In this paper, we propose an adaptive shot change detection algorithm using histograms of frames within extension sliding window. The proposed method generates an adaptive threshold which is calculated by an average of absolute difference histogram within extension sliding window. We obtained better the detection rate than conventional methods maximally 10% in F1. The proposed method will be helpful in searching video data on various applications.