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Authors: Marwen Nouri 1 ; Emmanuel Marilly 2 ; Olivier Martinot 2 and Nicole Vincent 3

Affiliations: 1 Alcatel-Lucent Bell Labs and Paris Descartes University, France ; 2 Alcatel-Lucent Bell Labs, France ; 3 Paris Descartes University, France

ISBN: 978-989-8565-03-7

Keyword(s): Interactive System, Video Object Selection, Scribbles based Segmentation, Scribbles Propagation.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Human and Computer Interaction ; Human-Computer Interaction ; Image and Video Analysis ; Image and Video Coding and Compression ; Image Formation and Preprocessing ; Motion, Tracking and Stereo Vision ; Segmentation and Grouping ; Tracking and Visual Navigation

Abstract: Improving video user experience is an essential task allowing video based algorithms and systems to be more user-friendly. This paper addresses the problem of video object selection by introducing a new interactive framework based on the minimization of the Active Curve energy. Prior assumption and supervised learning can be used to segment images using both color and morphological information. To deal with the segmentation of arbitrary high level object, user interaction is needed to avoid the semantic gap. Hard constraints such scribbles can be drown by user on the first video frame, to roughly mark the object of interest, and there are then automatically propagated to designate the same object in the remainder of the sequence. The resulting scribbles can be used as hard constraints to achieve the whole segmentation process. The active curve model is adapted and new forces are included to govern the curves evolution frame by frame. A spatiotemporal optimization is used to ensure a c oherent propagation. To avoid weight definition problem, as in classical active curve based algorithms, a new concept of dynamically adjusted weighting is introduced in order to improve the robustness of our curve propagation. (More)

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Paper citation in several formats:
Nouri, M.; Marilly, E.; Martinot, O. and Vincent, N. (2012). DYNAMIC WEIGHTING BASED ACTIVE CURVE PROPAGATION METHOD FOR VIDEO OBJECT SELECTION.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 5-11. DOI: 10.5220/0003818500050011

@conference{visapp12,
author={Marwen Nouri. and Emmanuel Marilly. and Olivier Martinot. and Nicole Vincent.},
title={DYNAMIC WEIGHTING BASED ACTIVE CURVE PROPAGATION METHOD FOR VIDEO OBJECT SELECTION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={5-11},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003818500050011},
isbn={978-989-8565-03-7},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - DYNAMIC WEIGHTING BASED ACTIVE CURVE PROPAGATION METHOD FOR VIDEO OBJECT SELECTION
SN - 978-989-8565-03-7
AU - Nouri, M.
AU - Marilly, E.
AU - Martinot, O.
AU - Vincent, N.
PY - 2012
SP - 5
EP - 11
DO - 10.5220/0003818500050011

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