Efficient hierarchical graph-based video segmentation

We present an efficient and scalable technique for spatiotemporal segmentation of long video sequences using a hierarchical graph-based algorithm. We begin by over-segmenting a volumetric video graph into space-time regions grouped by appearance. We then construct a "region graph" over the...

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Bibliographic Details
Published in:	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp. 2141 - 2148
Main Authors:	Grundmann, Matthias, Kwatra, Vivek, Mei Han, Essa, Irfan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2010
Subjects:	Image motion analysis Iterative algorithms Scalability Spatiotemporal phenomena Streaming media Tree graphs Video sequences
ISBN:	1424469848, 9781424469840
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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