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» Textural Features and Relevance Feedback for Image Retrieval
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ICIP
2005
IEEE
16 years 1 months ago
Learning hidden semantic cues using support vector clustering
This paper presents a method to infer hidden semantic cues by accumulating the knowledge learned from relevance feedback sessions. We propose to explicitly represent a semantic sp...
Jia-Wen Tung, Chiou-Ting Hsu
CACM
2000
225views more  CACM 2000»
14 years 11 months ago
Complementary Video and Audio Analysis for Broadcast News Archives
The Informedia Digital Video Library system extracts information from digitized video sources and allows full content search and retrieval over all extracted data. This extracted ...
Howard D. Wactlar, Alexander G. Hauptmann, Michael...
ECAI
2004
Springer
15 years 5 months ago
A Context-Based Model of Attention
d abstract)1 Niek Bergboer Eric Postma Jaap van den Herik Institute for Knowledge and Agent Technology, Universiteit Maastricht, P.O. Box 616, 6200 MD Maastricht It is well known t...
Niek Bergboer, Eric O. Postma, H. Jaap van den Her...
MIR
2010
ACM
206views Multimedia» more  MIR 2010»
15 years 5 months ago
An investigation into the relationship between semantic and content based similarity using LIDC
There is considerable research in the field of content-based medical image retrieval; however, few of the current systems investigate the relationship between the radiologists’...
Robert Kim, Grace Dasovich, Runa Bhaumik, Richard ...
PAMI
2008
190views more  PAMI 2008»
14 years 11 months ago
Scene Classification Using a Hybrid Generative/Discriminative Approach
We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail we are given a set ...
Anna Bosch, Andrew Zisserman, Xavier Muñoz