Search results for key=MoS2011 : 1 match found.

2011

• @inproceedings{MoS2011,
  	vgclass =	{refpap},
  	author =	{Nabeel Mohammed and Squire, David McG.},
  	title =	{Effectiveness of {ICF} features for collection-specific
  	{CBIR}},
  	booktitle =	{Proceedings of the 9th International Workshop on Adaptive
  	Multimedia Retrieval, co-located with the 22nd International Joint
  	Conference on Artificial Intelligence (IJCAI 2011)},
  	address =	{Barcelona, Spain},
  	number =	{7836},
  	series =	{Lecture Notes in Computer Science},
  	pages =	{83--95},
  	publisher =	{Springer-Verlag},
  	month =	{July~18--19},
  	year =	{2011},
  	doi =	{http://dx.doi.org/10.1007/978-3-642-37425-8_7},
  	url =	{/publications/postscript/2011/AMR2011.pdf},
  	abstract =	{This study aims to find more effective methods for
  	collection-specific CBIR. A lot of work has been done in trying to
  	adapt a system by user feedback, in this study we aim to adapt CBIR
  	systems for specific image collections in an automated manner.
  	Independent Component Analysis (ICA), a high order statistical
  	technique, is used to extract Independent Component Filters (ICF) from
  	image sets. As these filters are adapted to the data, the hypothesis is
  	that they may provide features which are more effective for
  	collection-specific CBIR. To test this question, this study develops a
  	methodology to extract ICF from image sets and use them to extract
  	filter responses. In developing this method, the study uses image
  	cross-correlation and clustering to solve issues to do with
  	shifted/duplicate filters and selecting a smaller set of filters to
  	make CBIR practical. The method is used to generate filter responses
  	for the VisTex database . The filter response energies are used as
  	features in the GNU Image Finding Tool (GIFT). The experiments show
  	that features extracted using ICF have the potential to improve the
  	effectiveness of collection-specific CBIR, although some more work in
  	this area is required.},
  }