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» Model-Driven Development of Content-Based Image Retrieval Sy...
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PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
15 years 4 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen
ICIP
2000
IEEE
15 years 11 months ago
Incorporate Support Vector Machines to Content-Based Image Retrieval with Relevant Feedback
By using relevance feedback [6], Content-Based Image Retrieval (CBIR) allows the user to retrieve images interactively. The user can select the most relevant images and provide a ...
Pengyu Hong, Qi Tian, Thomas S. Huang
ICARCV
2006
IEEE
232views Robotics» more  ICARCV 2006»
15 years 3 months ago
Analysis of Relevance Feedback in Content Based Image Retrieval
: Relevance feedback in Content Based Image Retrieval(CBIR) has been an active field of research for quite some time now. Many schemes and techniques of relevance feedback exist w...
P. Suman Karthik, C. V. Jawahar
IV
2000
IEEE
123views Visualization» more  IV 2000»
15 years 2 months ago
Content-Based Image Visualization
The proliferation of content-based image retrieval techniques has highlighted the need to understand the relationship between image clustering based on low-Ievel imagefeatures and...
Chaomei Chen, George Gagaudakis, Paul L. Rosin
JMLR
2010
141views more  JMLR 2010»
14 years 4 months ago
Pinview: Implicit Feedback in Content-Based Image Retrieval
This paper describes Pinview, a content-based image retrieval system that exploits implicit relevance feedback during a search session. Pinview contains several novel methods that...
Peter Auer, Zakria Hussain, Samuel Kaski, Arto Kla...