Title :
Subjective evaluation of image understanding results
Author :
Hemery, Baptiste ; Laurent, Helene ; Rosenberger, Christophe
Author_Institution :
GREYC Lab., Univ. of CAEN, Caen, France
Abstract :
Image understanding has many applications. Given an image and a ground truth, it is possible to measure the quality of understanding results provided by different algorithms or parameters. In this paper, we ask some users to make a subjective evaluation of image understanding results by sorting them from the best to the worst. We compared the results with some provided by a metric we defined recently. Experimental results show the good behavior of this metric compared to the human judgment.
Keywords :
image processing; ground truth; human judgment; image understanding results; subjective evaluation; Computer vision; Conferences; Measurement; Protocols; Shape; Signal processing algorithms; Taxonomy;
Conference_Titel :
Signal Processing Conference, 2010 18th European
Conference_Location :
Aalborg
