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» Combining Textual and Visual Features for Image Retrieval
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TMM
2011
169views more  TMM 2011»
14 years 4 months ago
Empowering Visual Categorization With the GPU
—Visual categorization is important to manage large collections of digital images and video, where textual metadata is often incomplete or simply unavailable. The bag-of-words mo...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...
ICIP
2002
IEEE
15 years 11 months ago
DPF - a perceptual distance function for image retrieval
For almost a decade, Content-Based Image Retrieval has been an active research area, yet one fundamental problem remains largely unsolved: how to measure perceptual similarity. To...
Baitao Li Chang, E. Ching-Tung Wu
ICPR
2010
IEEE
14 years 7 months ago
Unsupervised Image Retrieval with Similar Lighting Conditions
In this work a new method to retrieve images with similar lighting conditions is presented. It is based on automatic clustering and automatic indexing. Our proposal belongs to Con...
J. Felix Serrano, Carlos Avilés, Humberto S...
ICCV
2007
IEEE
15 years 11 months ago
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
Andrea Frome, Yoram Singer, Fei Sha, Jitendra Mali...
ICIAP
1997
ACM
15 years 2 months ago
The Terminological Image Retrieval Model
We present a model for image retrieval in which images are represented both at the form level, as sets of physical features of the representing objects, and at the content level, a...
Carlo Meghini, Fabrizio Sebastiani, Umberto Stracc...