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» Textural Features and Relevance Feedback for Image Retrieval
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MMS
2006
14 years 11 months ago
Collaborative image retrieval via regularized metric learning
In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between ...
Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu
CIVR
2003
Springer
126views Image Analysis» more  CIVR 2003»
15 years 5 months ago
Learning in Region-Based Image Retrieval
In this paper, several effective learning algorithms using global image representations are adjusted and introduced to region-based image retrieval (RBIR). First, the query point m...
Feng Jing, Mingjing Li, Lei Zhang, HongJiang Zhang...
ICIP
2003
IEEE
16 years 1 months ago
Rotation-invariant features based on steerable transforms with an application to distributed image classification
In this paper, we propose a new rotation-invariant image retrieval system based on steerable pyramids and the concept of angular alignment across scales. First, we define energy-b...
Baltasar Beferull-Lozano, Antonio Ortega, Hua Xie
ISCAS
2006
IEEE
222views Hardware» more  ISCAS 2006»
15 years 5 months ago
Texture image retrieval using complex directional filter bank
— In this paper, the shift-invariant complex directional filter bank (CDFB) is proposed for texture image retrieval. By combining the Laplacian pyramid and the CDFB, a new image...
An P. N. Vo, Truong T. Nguyen, Soontorn Oraintara
CEE
2010
67views more  CEE 2010»
14 years 12 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