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» Boosting Image Retrieval
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155
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CVPR
2005
IEEE
15 years 9 months ago
Mapping Low-Level Features to High-Level Semantic Concepts in Region-Based Image Retrieval
In this a novel supervised learning method is proposed to map low-level visualfeatures to high-level semantic conceptsfor region-based image retrieval. The contributions of thispa...
Wei Jiang, Kap Luk Chan, Mingjing Li, HongJiang Zh...
CISST
2004
144views Hardware» more  CISST 2004»
15 years 4 months ago
Interactive Flag Identification Using Image Retrieval Techniques
We propose an interactive system for identifying flags in photos taken from natural scenes. The system is interactive in two respects. First, because segmentation can be a difficu...
Eduardo Hart, Sung-Hyuk Cha, Charles C. Tappert
SAC
2006
ACM
15 years 9 months ago
A framework for content-based image retrieval fully exploiting the semantics of annotation
We present a framework and an application for semanticbased retrieval of images. Our approach adopts a two-level ontology structure in a subset of OWL-DL. In the core ontology onl...
Tommaso Di Noia, Eugenio Di Sciascio, Francesco di...
134
Voted
CIVR
2005
Springer
137views Image Analysis» more  CIVR 2005»
15 years 9 months ago
Aspect-Based Relevance Learning for Image Retrieval
We analyze the special structure of the relevance feedback learning problem, focusing particularly on the effects of image selection by partial relevance on the clustering behavio...
Mark J. Huiskes
131
Voted
CLEF
2005
Springer
15 years 9 months ago
Effect of Connective Functions in Interactive Image Retrieval
This paper presents the participation of the MIRACLE team1 at the ImageCLEF 2005 interactive search task, in which we compare the efficiency of AND monolingual queries (which have ...
Julio Villena-Román, Raquel M. Crespo Garc&...