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» A Novel Method for Video Retrieval Using Relevant Feedback
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MTA
2002
166views more  MTA 2002»
13 years 6 months ago
MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback
ThefieldofContent-BasedVisualInformationRetrieval(CBVIR)hasexperiencedtremendousgrowth in the recent years and many research groups are currently working on solutions to the proble...
Oge Marques, Borko Furht
CIKM
2010
Springer
13 years 5 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
TREC
2008
13 years 8 months ago
A Study of Adaptive Relevance Feedback - UIUC TREC 2008 Relevance Feedback Experiments
In this paper, we report our experiments in the TREC 2008 Relevance Feedback Track. Our main goal is to study a novel problem in feedback, i.e., optimization of the balance of the...
Yuanhua Lv, ChengXiang Zhai
ICIP
2001
IEEE
14 years 8 months ago
Image retrieval with relevance feedback: from heuristic weight adjustment to optimal learning methods
Various relevance feedback algorithms have been proposed in recent years in the area of content-based image retrieval. This paper gives a brief review and analysis on existing tec...
Xiang Sean Zhou, Thomas S. Huang
MM
2003
ACM
116views Multimedia» more  MM 2003»
13 years 12 months ago
Negative pseudo-relevance feedback in content-based video retrieval
Video information retrieval requires a system to find information relevant to a query which may be represented simultaneously in different ways through a text description, audio...
Rong Yan, Alexander G. Hauptmann, Rong Jin