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» Boosting Image Retrieval
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108
Voted
ICIP
2007
IEEE
16 years 2 months ago
Domain-Partitioning Rankboost for Face Recognition
In this paper we propose a domain partitioning RankBoost approach for face recognition. This method uses Local Gabor Binary Pattern Histogram (LGBPH) features for face representat...
Bangpeng Yao, Haizhou Ai, Yoshihisa Ijiri, Shihong...
106
Voted
ICCV
2005
IEEE
15 years 6 months ago
Contour-Based Learning for Object Detection
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Jamie Shotton, Andrew Blake, Roberto Cipolla
NIPS
2003
15 years 2 months ago
A Model for Learning the Semantics of Pictures
We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
Victor Lavrenko, R. Manmatha, Jiwoon Jeon
93
Voted
ACL
2008
15 years 2 months ago
Automatic Image Annotation Using Auxiliary Text Information
The availability of databases of images labeled with keywords is necessary for developing and evaluating image annotation models. Dataset collection is however a costly and time c...
Yansong Feng, Mirella Lapata
124
Voted
MIR
2003
ACM
113views Multimedia» more  MIR 2003»
15 years 6 months ago
Semantic-meaningful content-based image retrieval in wavelet domain
In this paper, we propose a semantic-meaningful approach for region-based image retrieval in image database. Our retrieval system is based on wavelet transform for its decompositi...
Yongqing Sun, Shinji Ozawa