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

1997

@inproceedings{Dim1997,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{Alexander Dimai},
	title =	{Spatial encoding using differences of global features},
	editor =	{Ishwar K. Sethi and Ramesh C. Jain},
	booktitle =	{Storage and Retrieval for Image and Video Databases V},
	volume =	{3022},
	series =	{SPIE Proceedings},
	pages =	{352--360},
	month =	{February},
	year =	{1997},
	abstract =	{While histogram or global feature approaches are powerful
	methods to encode image information for retrieval purposes, they suffer
	from a complete lack of spatial information. One possibility to
	overcome this drawback is the storage of the feature vectors of
	subregions.  However, this increases the size of the index vector. The
	paper suggests to store only the differences of the features between a
	region and its subregions, instead the whole feature vector of
	subregions. This introduced distance is called inter hierarchical
	distance (IHD). A new index, which combines the IHD and global color
	feature of the whole image, is suggested. The subregions are gained by
	a fixed tessellation.  Experimental results, using an image database
	with more than 12'000 color images, are presented. The retrieval power
	of the combined index is as powerful as an index which is 2.5 times
	larger in size and just needs global color features. The IHD is
	invariant to linear color transformation, which ensures a more stable
	performance of the index under gamma corrections.},
}