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

1996

@article{KhY1996,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{Javed I. Khan and David Y. Y. Yun},
	title =	{Holographic Image Archive},
	journal =	{Computerized Medical Imaging and Graphics},
	volume =	{20},
	number =	{4},
	pages =	{243--257},
	year =	{1996},
	abstract =	{This paper presents an associative technique for
	content-based retrieval into image archive, based on a computing
	paradigm called Multidimensional Holographic Associative Computing
	(MHAC).  Unlike any prior Artifical Associative Memory (AAM), MHAC has
	the unique ability to focus on any subset of pixels in the sample image
	and retrieve learned images based on the similarity of visual objects.
	In addition, MHAC is adaptive, graciously accomodative of imprecision,
	efficient, parallelizable, scalable and optically realizable. Together,
	these excellent properties of MHAC offer a promising novel approach to
	a content-based search into massive image archives. The paper presents
	the necessary transformational steps to incorporate this new mechanism
	into a complete image archive and retrieval system. This is the first
	associative search approach for content-based retrieval in image
	repository. The results show that this search system is capable of
	retrievals using pattern objects as small as 10--15\% of the query
	image frame at better than 90\% accuracy. This demonstrates the
	potential of MHAC for handling content-based image applications far
	beyond the capability of current associative memories. The design,
	methodology and performance of this have been illustrated in this paper
	through its application in managing a Medical Image Archive (MEDIA).},
}