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» Document Retrieval Using SIFT Image Features
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ICDE
2006
IEEE
191views Database» more  ICDE 2006»
16 years 4 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu
117
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DELOS
2000
15 years 4 months ago
Analysis of the Effectiveness-Efficiency Dependence for Image Retrieval
Similarity search in image database is commonly implemented as nearest-neighbor search in a feature space of the images. For that purpose, a large number of different features as ...
Martin Heczko, Daniel A. Keim, Roger Weber
118
Voted
INEX
2005
Springer
15 years 8 months ago
INEX 2005 Multimedia Track
In this article the activities of the INEX 2005 Multimedia track are reported. We succesfully realized our objective, to provide an evaluation platform for the evaluation of retrie...
Roelof van Zwol, Gabriella Kazai, Mounia Lalmas
CLEF
2006
Springer
15 years 6 months ago
Inter-media Pseudo-relevance Feedback Application to ImageCLEF 2006 Photo Retrieval
This paper shows how to use a text retrieval and an image retrieval engine in a cooperative way. The proposed Inter-Media PseudoRelevance Feedback approach shows how the image moda...
Nicolas Maillot, Jean-Pierre Chevallet, Joo-Hwee L...
159
Voted
ICIP
2007
IEEE
16 years 4 months ago
Using Phase and Magnitude Information of the Complex Directional Filter Bank for Texture Image Retrieval
This paper discusses how to utilize both magnitude and phase information obtained from the complex directional lter bank (CDFB) for the purpose of texture image retrieval. The rel...
An P. N. Vo, Soontorn Oraintara, Truong T. Nguyen