DocumentCode :
2402482
Title :
Towards Perceptually Driven Segmentation Evaluation Metrics
Author :
Gelasca, Elisa Drelie ; Ebrahimi, Touradj ; Farias, Mylene C Q ; Carli, Marco ; Mitra, Sanjit K.
Author_Institution :
Swiss Federal Institute of Technology EPFL, Switzerland
fYear :
2004
fDate :
27-02 June 2004
Firstpage :
52
Lastpage :
52
Abstract :
To be reliable, an automatic segmentation evaluation metric has to be validated by subjective tests. In this paper, a formal protocol for subjective tests for segmentation quality assessment is presented. The most common artifacts produced by segmentation algorithms are identified and an extensive analysis of their effects on the perceived quality is performed. A psychophysical experiment was performed to assess the quality of video with segmentation errors. The results show how an objective segmentation evaluation metric can be defined as a function of various error types.
Keywords :
Algorithm design and analysis; Automatic testing; Image segmentation; Object segmentation; Performance analysis; Performance evaluation; Protocols; Quality assessment; Signal processing algorithms; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshop, 2004. CVPRW '04. Conference on
Type :
conf
DOI :
10.1109/CVPR.2004.191
Filename :
1384844
Link To Document :
بازگشت