Search results for key=MoS2013c :
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Refereed full papers (journals, book chapters, international conferences)
2013
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Nabeel Mohammed and David McG. Squire,
ICFSIFT: Improving collection-specific CBIR with ICF-based local features,
In Proceedings of the International Conference on Digital
Image Computing: Techniques and Applications (DICTA 2013),
Hobart, Australia, pp. 351-358, November 26-28 2013.
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.
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