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» Boosting Image Retrieval
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ICPR
2006
IEEE
14 years 8 months ago
Forest Extension of Error Correcting Output Codes and Boosted Landmarks
In this paper, we introduce a robust novel approach for detecting objects category in cluttered scenes by generating boosted contextual descriptors of landmarks. In particular, ou...
Oriol Pujol, Petia Radeva, Sergio Escalera
CLEF
2004
Springer
14 years 1 months ago
The CLEF 2004 Cross-Language Image Retrieval Track
The purpose of this paper is to outline efforts from the 2004 CLEF cross–language image retrieval campaign (ImageCLEF). The aim of this CLEF track is to explore the use of both ...
Paul Clough, Henning Müller, Mark Sanderson
ICIP
2005
IEEE
14 years 9 months ago
Novel likelihood estimation technique based on boosting detector
This paper presents novel likelihood estimation to be used for particle filter based object tracking. The likelihood estimation is built upon cascade object detector trained with ...
Haijing Wang, Peihua Li, Tianwen Zhang
ICIP
2010
IEEE
13 years 5 months ago
Fast object detection using boosted co-occurrence histograms of oriented gradients
Co-occurrence histograms of oriented gradients (CoHOG) are powerful descriptors in object detection. In this paper, we propose to utilize a very large pool of CoHOG features with ...
Haoyu Ren, Cher-Keng Heng, Wei Zheng, Luhong Liang...
CIVR
2007
Springer
138views Image Analysis» more  CIVR 2007»
14 years 1 months ago
SemRetriev: an ontology driven image retrieval system
This paper describes the technical details of SemRetriev, a prototype system for image retrieval which combines the use of an ontology which structures an image repository and of ...
Adrian Popescu, Pierre-Alain Moëllic, Christo...