A Simple Change Comparison Method for Image Sequences Based on Uncertainty Coefficient

TL;DR

This paper introduces CCUC, a simple and efficient method based on Uncertainty Coefficient for comparing change levels between two image sequences, useful in video monitoring systems with limited display resources.

Contribution

The paper presents a novel change comparison method for two image sequences using Uncertainty Coefficient, addressing the gap in change level comparison without detailed object detection.

Findings

Method effectively distinguishes different change levels.

Applicable to large-scale monitoring with limited display screens.

Demonstrated on publicly available image sequences.

Abstract

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.