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CEE
2010
67views more  CEE 2010»
14 years 9 months ago
Series feature aggregation for content-based image retrieval
Feature aggregation is a critical technique in content-based image retrieval systems that employ multiple visual features to characterize image content. One problem in feature aggr...
Jun Zhang, Lei Ye
ISM
2006
IEEE
209views Multimedia» more  ISM 2006»
15 years 3 months ago
Holistic Comparison of Text Images for Content-Based Retrieval
The accurate recognition of text that appears in images/videos using analytical character recognition methods is often very difficult, despite the fact that the text might be corr...
Julinda Gllavata, Ermir Qeli, Bernd Freisleben
MTA
2008
146views more  MTA 2008»
14 years 9 months ago
A survey of browsing models for content based image retrieval
The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query: users initiate an au...
Daniel Heesch
ADBIS
2006
Springer
168views Database» more  ADBIS 2006»
15 years 3 months ago
A Hybrid Ontology and Content-Based Search Engine For Multimedia Retrieval
Abstract. Huge amounts of digital visual content are currently available, thus placing a demand for advanced multimedia search engines. The contribution of this paper is the presen...
Haralambos Doulaverakis, Evangelia Nidelkou, Anast...
MICCAI
2007
Springer
15 years 10 months ago
Effectiveness of the Finite Impulse Response Model in Content-Based fMRI Image Retrieval
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh