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

1997

@inproceedings{RHM1997,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{Yong Rui and Thomas S. Huang and Sharad Mehrotra},
	title =	{Relevance Feedback Techniques in Interactive
    Content-Based Image Retrieval},
	editor =	{Ishwar K. Sethi and Ramesh C. Jain},
	booktitle =	{Storage and Retrieval for Image and Video Databases VI},
	volume =	{3312},
	series =	{SPIE Proceedings},
	pages =	{25--36},
	month =	{December},
	year =	{1997},
	url =	{http://www.research.microsoft.com/~yongrui/ps/spie98.ps.Z},
	abstract =	{Content-based image retrieval (CBIR) has become one of the
	most active research areas in the past few years. Many visual feature
	representations have been explored and many systems built. While these
	research efforts establish the basis of CBIR, the usefulness of the
	proposed approaches is limited. Specifically, these efforts have
	relatively ignored two distinct characteristics of CBIR systems: (1)
	the gap between high level concepts and low level features; (2)
	subjectivity of human perception of visual content.

	This paper proposes a relevance feedback based interactive retrieval
	approach, which effectively takes into account the above two
	characteristics in CBIR.  During the retrieval process, the user's high
	level query and perception subjectivity are captured by dynamically
	updated weights based on the user's relevance feedback. The
	experimental results show that the proposed approach greatly reduces
	the user's effort of composing a query and captures the user's
	information need more precisely.},
}