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Coherent segmentation of video into syntactic regions
Smeaton, Alan F.; Adamek, Tomasz; Le Borgne, Hervé; Smyth, Oliver; O'Connor, Noel E.; de Burca, Seán
In this paper we report on our work in realising an approach to video shot matching which involves automatically segmenting video into abstract intertwinded shapes in such a way that there is temporal coherency. These shapes representing approximations of objects and background regions can then be matched giving fine-grained shot-shot matching. The main contributions of the paper are firstly the extension of our segmentation algorithm for still images to spatial segmentation in video, and secondly the introduction a measurement of temporal coherency of the spatial segmentation. This latter allows us to quantitatively demonstrate the effectiveness of our approach on real video data.
Keyword(s): Digital video; Information retrieval
Publication Date:
2005
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Smeaton, Alan F. ORCID: 0000-0003-1028-8389 <https://orcid.org/0000-0003-1028-8389>, Adamek, Tomasz, Le Borgne, Hervé ORCID: 0000-0003-0520-8436 <https://orcid.org/0000-0003-0520-8436>, Smyth, Oliver, O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <https://orcid.org/0000-0002-4033-9135> and de Burca, Seán (2005) Coherent segmentation of video into syntactic regions. In: IMVIP 2005 - 9th Irish Machine Vision and Image Processing Conference, 30-31 August 2005, Belfast, Northern Ireland.
Publisher(s): School of Computer Science, Queens University Belfast
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/316/1/imvip_2005.pdf,
http://www.cs.qub.ac.uk/imvip2005/
First Indexed: 2009-11-05 02:00:32 Last Updated: 2019-02-09 07:04:28