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Evaluation on the compactness of supervoxels

Yi, Ran, Yong-Jin, Liu and Lai, Yukun 2018. Evaluation on the compactness of supervoxels. Presented at: IEEE International Conference on Image Processing, Athens, Greece, 7-10 October 2018. 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, 10.1109/ICIP.2018.8451659

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Abstract

Supervoxels are perceptually meaningful atomic spatiotemporal regions in videos, which has great potential to reduce the computational complexity of downstream video applications. Many methods have been proposed for generating supervoxels. To effectively evaluate these methods, a novel supervoxel library and benchmark called LIBSVX with seven collected metrics was recently established. In this paper, we propose a new compactness metric which measures the shape regularity of supervoxels and is served as a necessary complement to the existing metrics. To demonstrate its necessity, we first explore the relations between the new metric and existing ones. Correlation analysis shows that the new metric has a weak correlation with (i.e., nearly independent of) existing metrics, and so reflects a new characteristic of supervoxel quality. Second, we investigate two real-world video applications. Experimental results show that the new metric can effectively predict some important application performance, while most existing metrics cannot do so.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Computer Science & Informatics
Publisher: IEEE
ISBN: 978-1-4799-7061-2
ISSN: 2381-8549
Funders: Royal Society
Date of First Compliant Deposit: 24 May 2018
Date of Acceptance: 4 May 2018
Last Modified: 06 Sep 2019 02:45
URI: http://orca-mwe.cf.ac.uk/id/eprint/111704

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