A Framework for Evaluating Video Object Segmentation Algorithms

Authors:
Elisa Drelie Gelasca;Touradj Ebrahimi;Mustafa Karaman;Thomas Sikora
Affiliations:
EPFL, CH-1015 Lausanne, Switzerland;EPFL, CH-1015 Lausanne, Switzerland;TUB, D-10587 Berlin, Germany;TUB, D-10587 Berlin, Germany
Venue:
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Year:
2006

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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.