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» Textural Features and Relevance Feedback for Image Retrieval
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ICIP
1999
IEEE
15 years 4 months ago
Content-Based Color Image Retrieval with Relevance Feedback
Raimondo Schettini, Gianluigi Ciocca, Isabella Gag...
ICIP
1999
IEEE
16 years 1 months ago
Complex Wavelet Features for Fast Texture Image Retrieval
Peter De Rivaz, Nick G. Kingsbury
MLDM
2001
Springer
15 years 4 months ago
Adaptive Query Shifting for Content-Based Image Retrieval
: Despite the efforts to reduce the semantic gap between user perception of similarity and featurebased representation of images, user interaction is essential to improve retrieval...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
MMM
2005
Springer
117views Multimedia» more  MMM 2005»
15 years 5 months ago
Subspace Clustering and Label Propagation for Active Feedback in Image Retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). However, since users are usually unwillin...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Wei-Ying Ma, ...
VISUAL
2000
Springer
15 years 3 months ago
Content-Based Image Retrieval by Relevance Feedback
Relevance feedback is a powerful technique for content-based image retrieval. Many parameter estimation approaches have been proposed for relevance feedback. However, most of them ...
Zhong Jin, Irwin King, Xuequn Li