A Simple Change Comparison Method for Image Sequences Based on Uncertainty Coefficient
Name
1810.06055.pdf
Description
Accepted version
Size
709.76 KB
Format
Unknown
Checksum (MD5)
dc2205f9b696c6b5ba3b7dca6996ad15
Author(s)
Zhao, Ruzhang
Fang, Yajun
HOrn, Berthold K.P.
Date Issued
2018
Citation
Zhao, Ruzhang, Fang, Yajun and HOrn, Berthold K.P. 2018. "A Simple Change Comparison Method for Image Sequences Based on Uncertainty Coefficient."
Version
Author's final manuscript
Abstract
© 2018 IEEE. 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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/UV.2018.8642140
