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

2013

@inproceedings{MoS2013c,
	vgclass =	{refpap},
	author =	{Nabeel Mohammed and Squire, David McG.},
	title =	{{ICFSIFT}: Improving collection-specific {CBIR} with {ICF}-based local features},
	booktitle =	{Proceedings of the International Conference on Digital
	Image Computing: Techniques and Applications (DICTA 2013)},
	address =	{Hobart, Australia},
	pages =	{351--358},
	month =	{November~26--28},
	year =	{2013},
	doi =	{http://dx.doi.org/10.1109/DICTA.2013.6691498},
	abstract =	{We present a new adaptive local feature, ICFSIFT, which
	utilises SIFT keypoints and Independent Component Analysis. The ICFSIFT
	feature combines the keypoint detection, and scale and orientation
	invariance, of SIFT with the collection-specific adaptive properties of
	Independent Component Filter (ICF) features. We evaluate the
	performance of this feature for image retrieval on two standard texture
	collections, comparing with SIFT features and previously published
	global ICF features. On both collections the ICFSIFT features perform
	best. We also show that combining these ICFSIFT features with the
	ICF-based global features further improves CBIR performance.},
}