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ECIR
2011
Springer
14 years 8 months ago
Dynamic Two-Stage Image Retrieval from Large Multimodal Databases
Abstract. Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection. More...
Avi Arampatzis, Konstantinos Zagoris, Savvas A. Ch...
CBMS
2011
IEEE
14 years 4 months ago
Sharing object models for multi-modality medical image simulation: A semantic approach
Medical image simulation produces virtual images from software representations of imaging devices and virtual object models representing the human body. Object models consist of t...
Germain Forestier, Adrien Marion, Hugues Benoit-Ca...
ICCV
2009
IEEE
16 years 9 months ago
TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation
Image auto-annotation is an important open problem in computer vision. For this task we propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images a...
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek...
ICIP
2003
IEEE
16 years 6 months ago
Fast indexing for image retrieval based on local appearance with re-ranking
This paper describes an approach to retrieve images containing specific objects, scenes or buildings. The image content is captured by a set of local features. More precisely, we ...
Hao Shao, Tomás Svoboda, Vittorio Ferrari, ...
ICIP
2000
IEEE
16 years 6 months ago
Combine User Defined Region-of-Interest and Spatial Layout for Image Retrieval
Content-Based Image Retrieval (CBIR) is one of the most active research areas in recent years. Many visual feature representations have been explored and many systems built. Howev...
Qi Tian, Ying Wu, Thomas S. Huang