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» Content-Based Image Retrieval from Large Medical Databases
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GIS
2007
ACM
14 years 7 months ago
Comparing global and interest point descriptors for similarity retrieval in remote sensed imagery
We investigate the application of a new category of low-level image descriptors termed interest points to remote sensed image analysis. In particular, we compare how scale and rot...
Shawn Newsam, Yang Yang
ICDE
2006
IEEE
266views Database» more  ICDE 2006»
14 years 8 months ago
Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases
Todays abundance of storage coupled with digital technologies in virtually any scientific or commercial application such as medical and biological imaging or music archives deal w...
Ira Assent, Andrea Wenning, Thomas Seidl
SISAP
2009
IEEE
134views Data Mining» more  SISAP 2009»
14 years 1 months ago
Searching by Similarity and Classifying Images on a Very Large Scale
—In the demonstration we will show a system for searching by similarity and automatically classifying images in a very large dataset. The demonstrated techniques are based on the...
Giuseppe Amato, Pasquale Savino

Publication
1763views
14 years 3 months ago
Reranking with Contextual dissimilarity measures from representational Bregman k-means
We present a novel reranking framework for Content Based Image Retrieval (CBIR) systems based on con-textual dissimilarity measures. Our work revisit and extend the method of Perro...
Olivier Schwander, Frank Nielsen
AMR
2007
Springer
197views Multimedia» more  AMR 2007»
14 years 29 days ago
How to Use SIFT Vectors to Analyze an Image with Database Templates
During last years, local image descriptors have received much attention because of their efficiency for several computer vision tasks such as image retrieval, image comparison, fea...
Adrien Auclair, Laurent D. Cohen, Nicole Vincent