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Authors: Mahmud Abdulla Mohammad ; Ioannis Kaloskampis and Yulia Hicks

Affiliation: Cardiff University, United Kingdom

Keyword(s): Image/Video Segmentation, Object Segmentation, Image Processing, Edge Detection, Statistical Measures.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping

Abstract: Segmentation is an important stage in image/video analysis and understanding. There are many different approaches and algorithms for image/video segmentation, hence their evaluation is also important in order to assess the quality of segmentation results. Nonetheless, so far there was little research aimed specifically at evaluation of video segmentation quality. In this article, we propose the criteria of good quality of video segmentation suitable for assessment of video segmentations by including a requirement for temporal region consistency. We also propose a new method for evaluation of video segmentation quality on the basis of the proposed criteria. The new method can be used both for supervised and unsupervised evaluation. We designed a test video set specifically for evaluation of our method and evaluated the proposed method using both this set and segmentations of real life videos. We compared our method against a state of the art supervised evaluation method. The compariso n showed that our method is better at evaluation of perceptual qualities of video segmentations as well as at highlighting certain defects of video segmentations. (More)

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Paper citation in several formats:
Mohammad, M.; Kaloskampis, I. and Hicks, Y. (2015). New Method for Evaluation of Video Segmentation Quality. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP; ISBN 978-989-758-089-5; ISSN 2184-4321, SciTePress, pages 523-530. DOI: 10.5220/0005306205230530

@conference{visapp15,
author={Mahmud Abdulla Mohammad. and Ioannis Kaloskampis. and Yulia Hicks.},
title={New Method for Evaluation of Video Segmentation Quality},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP},
year={2015},
pages={523-530},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005306205230530},
isbn={978-989-758-089-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP
TI - New Method for Evaluation of Video Segmentation Quality
SN - 978-989-758-089-5
IS - 2184-4321
AU - Mohammad, M.
AU - Kaloskampis, I.
AU - Hicks, Y.
PY - 2015
SP - 523
EP - 530
DO - 10.5220/0005306205230530
PB - SciTePress

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