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PRL
2007

Retrieval of objects in video by similarity based on graph matching

10 years 3 months ago
Retrieval of objects in video by similarity based on graph matching
In this paper, we tackle the problem of matching of objects in video in the context of the rough indexing paradigm. The approach developed is based on matching of region adjacency graphs (RAG) of pre-segmented objects. In the context of the rough indexing paradigm, the video data are of very low resolution and segmentation is consequently inaccurate. Hence the RAGs vary with the time. The contribution of this paper is a graph matching method for such RAGs based on an improvement of relaxation labelling techniques. In this method, adjustments of similarity between regions according to neighborhood consistency compensate for the inaccuracy of segmentation. The approach demonstrates promising performance on real sequences when compared to another region-based technique. Ó 2007 Elsevier B.V. All rights reserved.
F. Chevalier, Jean-Philippe Domenger, Jenny Benois
Added 27 Dec 2010
Updated 27 Dec 2010
Type Journal
Year 2007
Where PRL
Authors F. Chevalier, Jean-Philippe Domenger, Jenny Benois-Pineau, Maylis Delest
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