SeamSeg: Video Object Segmentation using Patch Seams

Ramakanth, Avinash S and Babu, Venkatesh R (2014) SeamSeg: Video Object Segmentation using Patch Seams. In: 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), JUN 23-28, 2014, Columbus, OH, pp. 376-383.

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Abstract

In this paper, we propose a technique for video object segmentation using patch seams across frames. Typically, seams, which are connected paths of low energy, are utilised for retargeting, where the primary aim is to reduce the image size while preserving the salient image contents. Here, we adapt the formulation of seams for temporal label propagation. The energy function associated with the proposed video seams provides temporal linking of patches across frames, to accurately segment the object. The proposed energy function takes into account the similarity of patches along the seam, temporal consistency of motion and spatial coherency of seams. Label propagation is achieved with high fidelity in the critical boundary regions, utilising the proposed patch seams. To achieve this without additional overheads, we curtail the error propagation by formulating boundary regions as rough-sets. The proposed approach out-perform state-of-the-art supervised and unsupervised algorithms, on benchmark datasets.

Item Type:	Conference Proceedings
Series.:	IEEE Conference on Computer Vision and Pattern Recognition
Publisher:	IEEE
Additional Information:	Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre:	Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre
Date Deposited:	30 Oct 2015 06:44
Last Modified:	30 Oct 2015 06:44
URI:	http://eprints.iisc.ac.in/id/eprint/52657

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