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A Framework for Evaluating Video Object Segmentation Algorithms
Citation key 1001Drelie2006
Author Elisa Gelasca Drelie and Mustafa Karaman and Tourajd Ebrahimi and Thomas Sikora
Title of Book CVPR 2006 Workshop (Perceptual Organization in Computer Vision POCV)
Pages 198–198
Year 2006
DOI 10.1109/CVPRW.2006.15
Address New York
Month jun
Editor IEEE
Organization IEEE
Abstract Segmentation of moving objects in image sequences plays an important role in video processing and analysis. Evaluating the quality of segmentation results is necessary to allow the appropriate selection of segmentation algorithms and to tune their parameters for optimal performance. Many segmentation algorithms have been proposed along with a number of evaluation criteria. Nevertheless, no psychophysical experiments evaluating the quality of different video object segmentation results have been conducted. In this paper, a generic framework for segmentation quality evaluation is presented. A perceptually driven automatic method for segmentation evaluation is proposed and compared against an existing approach. Moreover, on the basis of subjective results, perceptual factors are introduced into the novel objective metric to meet the specificity of different segmentation applications such as video compression. Experimental results confirm the efficiency of the proposed evaluation criteria.
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