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MM
2005
ACM
171views Multimedia» more  MM 2005»
15 years 5 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
IJBRA
2008
116views more  IJBRA 2008»
14 years 12 months ago
High performance bio-image database retrieval using MPI
: Fast and accurate 3D object reconstruction and partial 3D component retrieval from 2D image slices represent a difficult and challenging problem. To group related objects on diff...
Yong Li, Xiujuan Chen, Saeid Belkasim, Yi Pan
ICIP
2010
IEEE
14 years 9 months ago
Network of evolutionary binary classifiers for classification and retrieval in macroinvertebrate databases
In this paper, we focus on advanced classification and data retrieval schemes that are instrumental when processing large taxonomical image datasets. With large number of classes,...
Serkan Kiranyaz, Moncef Gabbouj, Jenni Pulkkinen, ...
CVPR
2008
IEEE
16 years 1 months ago
Lost in quantization: Improving particular object retrieval in large scale image databases
The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local ...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
CIVR
2006
Springer
172views Image Analysis» more  CIVR 2006»
15 years 3 months ago
Retrieving Shapes Efficiently by a Qualitative Shape Descriptor: The Scope Histogram
Abstract. Efficient image retrieval from large image databases is a challenging problem. In this paper we present a method offering constant time complexity for the comparison of t...
Arne Schuldt, Björn Gottfried, Otthein Herzog