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» Image retrieval on large-scale image databases
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BDA
2007
14 years 11 months ago
Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
Michel Crucianu, Daniel Estevez, Vincent Oria, Jea...
CLEF
2009
Springer
14 years 7 months ago
Overview of the CLEF 2009 Robot Vision Track
The robot vision task has been proposed to the ImageCLEF participants for the first time in 2009. The task attracted a considerable attention, with 19 inscribed research groups, 7...
Andrzej Pronobis, Li Xing, Barbara Caputo

Publication
1763views
15 years 6 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
DAGSTUHL
2006
14 years 11 months ago
Efficient multi-step query processing for EMD-based similarity
Abstract. Similarity search in large multimedia databases requires efficient query processing based on suitable similarity models. Similarity models consist of a feature extraction...
Ira Assent, Thomas Seidl
SAC
1997
ACM
15 years 1 months ago
The RasDaMan approach to multidimensional database management
Multidimensional discrete data (MDD), i.e., arrays of arbitrary size, dimension, and base type, are receiving growing attention among the database community. MDD occur in a variet...
Peter Baumann, Paula Furtado, Roland Ritsch, Norbe...