In shot boundary detection, the key technology is to compute the visual content discontinuity values between consecutive video frames. In this paper, a unified framework is proposed to detect the shot boundaries and extract the keyframes of a shot. Firstly, the Scale invariant feature transform (SIFT) is adopted to compute the visual content discontinuity values. Then a new method, which is called the Local Double Threshold Shot Boundary Detection (LDT-SBD), is used to detect shot boundaries. Lastly, two mechanisms are proposed to extract keyframe. Experimental results show the framework is effective and has a good performance.
['Gentao Liu', 'Xiangming Wen', 'Wei Zheng', 'Peizhou He']
Shot Boundary Detection and Keyframe Extraction Based on Scale Invariant Feature Transform