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» Semantic based image retrieval: a probabilistic approach
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ECCV
2006
Springer
16 years 2 days ago
Scene Classification Via pLSA
Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised man...
Anna Bosch, Andrew Zisserman, Xavier Muñoz
ECCV
2006
Springer
16 years 2 days ago
Learning Compositional Categorization Models
Abstract. This contribution proposes a compositional approach to visual object categorization of scenes. Compositions are learned from the Caltech 101 database1 intermediate abstra...
Björn Ommer, Joachim M. Buhmann
108
Voted
ICMCS
2007
IEEE
187views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Knowledge-Assisted Medical Image Retrieval
In this paper, we present a knowledge-assisted approach to index and retrieve large volume of medical images. Both images and associated texts are indexed using medical concepts f...
Joo-Hwee Lim, Caroline Lacoste, Jean-Pierre Cheval...
MM
2004
ACM
129views Multimedia» more  MM 2004»
15 years 3 months ago
A novel log-based relevance feedback technique in content-based image retrieval
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
Chu-Hong Hoi, Michael R. Lyu
BILDMED
2009
251views Algorithms» more  BILDMED 2009»
14 years 11 months ago
Probabilistic Tracking and Model-Based Segmentation of 3D Tubular Structures
Abstract. We introduce a new approach for tracking-based segmentation of 3D tubular structures. The approach is based on a novel combination of a 3D cylindrical intensity model and...
Stefan Wörz, William J. Godinez, Karl Rohr