Title :
A review of object segmentation quality subjective assessment methods
Author :
Ran Shi;King Ngi Ngan;Yichi Zhang
Author_Institution :
Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong
Abstract :
In the past decades, researchers have made great efforts to develop object segmentation algorithms and constantly improving the segmentation quality. Compared with object segmentation algorithms, object segmentation quality assessment is less studied. Especially, how to evaluate segmentation quality by subjective assessment, which is the most reliable way to understand and analyze segmentation quality in terms of human perception has not attracted much attention. In this paper, we review three object segmentation subjective assessment methods and propose possible future directions for research in object segmentation quality subjective assessment.
Keywords :
"Image segmentation","Object segmentation","Quality assessment","Videos","Standards","Reliability","Visualization"
Conference_Titel :
TENCON 2015 - 2015 IEEE Region 10 Conference
Print_ISBN :
978-1-4799-8639-2
Electronic_ISBN :
2159-3450
DOI :
10.1109/TENCON.2015.7372726