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ICIP
2001
IEEE
14 years 7 months ago
Category-based image retrieval
This work presents a novel approach to content-based image retrieval in categorical multimedia databases. The images are indexed using a combination of text and content descriptor...
Shawn D. Newsam, Baris Sumengen, B. S. Manjunath
SPIESR
1996
141views Database» more  SPIESR 1996»
13 years 7 months ago
Describing and Classifying Multimedia Using the Description Logic GRAIL
Many applications would benefit if media objects such as images could be selected and classified (or clustered) such that "conceptually similar" images are grouped toget...
Carole A. Goble, Christian Haul, Sean Bechhofer
ICIP
2003
IEEE
14 years 7 months ago
Evaluation strategies for automatic linguistic indexing of pictures
With the rapid technological advances in machine learning and data mining, it is now possible to train computers with hundreds of semantic concepts for the purpose of annotating i...
James Ze Wang, Jia Li, Sui Ching Lin
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
14 years 6 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...
ICCV
2005
IEEE
14 years 8 months ago
Modeling Scenes with Local Descriptors and Latent Aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...