  For identification of change information in image sequences, most studies
focus on change detection in one image sequence, while few studies have
considered the change level comparison between two different image sequences.
Moreover, most studies require the detection of image information in details,
for example, object detection. Based on Uncertainty Coefficient(UC), this paper
proposes an innovative method CCUC for change comparison between two image
sequences. The proposed method is computationally efficient and simple to
implement. The change comparison stems from video monitoring system. The
limited number of provided screens and a large number of monitoring cameras
require the videos or image sequences ordered by change level. We demonstrate
this new method by applying it on two publicly available image sequences. The
results are able to show the method can distinguish the different change level
for sequences.
