Shot Boundary Detection Algorithm Based on Self-adaptive Dual Thresholds of Accumulative Frame
基于累积帧的自适应双阈值镜头边界检测算法

Improving the precision of shot boundary detection is very important. This paper presented an algorithm for shot boundary detection based on self-adaptive dual thresholds of accumulative frame. It used an accumulative frame to memorize the accumulative differences among the sequential frames of the video and magnify gradual feature changes. A block-matching algorithm was designed to compensate for the motion of the object to reduce the effects of it. Self-adap- five dual thresholds were adopted to improve the veracity of the shot boundary detection. The proposed method can well detect gradual shot with less calculating strength by experiment on various video clips.