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

2004

@inproceedings{OCS2004,
	vgclass =	{refpap},
	author =	{Sangwook Oh and Min Gyo Chung and Sanghoon Sull},
	title =	{Relevance Feedback Reinforced with Semantics
	Accumulation},
	booktitle =	{Proceedings of the Third International Conference on Image
	and Video Retrieval (CIVR 2004)},
	address =	{Dublin, Ireland},
	number =	{3115},
	series =	{Lecture Notes in Computer Science},
	pages =	{448--454},
	publisher =	{Springer-Verlag},
	month =	{July~21--23},
	year =	{2004},
	url =	{http://www.springerlink.com/link.asp?id=q7ma83c380317k85},
	abstract =	{Relevance feedback (RF) is a mechanism introduced earlier
	to exploit a users perceptual feedback in image retrieval. It refines a
	query by using the relevance information from the user to improve
	subsequent retrieval. However, the users feedback information is
	generally lost after a search session terminates. In this paper, we
	propose an enhanced version of RF, which is designed to accumulate
	human perceptual responses over time through relevance feedback and to
	dynamically combine the accumulated high-level relevance information
	with low-level features to further improve the retrieval effectiveness.
	Experimental results are presented to demonstrate the potential of the
	proposed method.},
}