As a critical step in many multimedia applications

shot boundary detection attracts many research interests in recent yearsMost present methods measure the similarity among video frames based on its low-level feathers However

they are sensitive to the change in brightness

color

motion of object

camera motions and the quality of video This paper proposes an innovative shot boundary detection method for news video based on image segmentation and object tracking It combines three main techniques

namely

the partitioned histogram comparison method

the image segmentation based on wavelet analysis and the object tracking The partitioned histogram comparison is used as the first filter to effectively reduce the number of video frames which need segmentation and object tracking The unsupervised image segmentation based on wavelet analysis and object tracking is robust to those problems mentioned above The efficacy of the proposed method is extensively tested with more than 3 hours of CCTV and CNN news programs

and that 964% recall with 972% precision has been achieved