Refereed full papers (journals, book chapters, international conferences)

1999

@inproceedings{HuH1999,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{Beniot Huet and Edwin R. Hancock},
	title =	{Inexact Graph Retrieval},
	booktitle =	{IEEE Workshop on Content-based Access of Image and Video
	Libraries (CBAIVL'99)},
	address =	{Fort Collins, Colorado, USA},
	pages =	{40--44},
	month =	{June~22},
	year =	{1999},
	url =	{http://www.cs.york.ac.uk/\~{}huetb/cv.html#PUBLICATIONS},
	abstract =	{This paper describes a graph-matching technique for
	recognising line-pattern shapes in large image databases. We use a
	Bayesian matching algorithm that draws on edge-consistency and node
	attribute similarity. This information is used to determine the a
	posteriori probability of a query graph for each of the candidate
	matches in the database. The node feature-vectors are constructed by
	computing normalised histograms of pairwise geometric attributes.
	Attribute similarity is assessed by computing the Bhattacharyya
	distance between the histograms. Recognition is realised by selecting
	the candidate from the database which has the largest a posteriori
	probability.},
}