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» Combining Metric Features in Large Collections
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CVPR
2009
IEEE
1695views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Geometric min-Hashing: Finding a (Thick) Needle in a Haystack
We propose a novel hashing scheme for image retrieval, clustering and automatic object discovery. Unlike commonly used bag-of-words approaches, the spatial extent of image featu...
Ondrej Chum (Czech Technical University), Michal P...
IJCV
2010
168views more  IJCV 2010»
13 years 6 months ago
Baselines for Image Annotation
Automatically assigning keywords to images is of great interest as it allows one to retrieve, index, organize and understand large collections of image data. Many techniques have b...
Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar
APIN
1998
132views more  APIN 1998»
13 years 7 months ago
Evolution-Based Methods for Selecting Point Data for Object Localization: Applications to Computer-Assisted Surgery
Object localization has applications in many areas of engineering and science. The goal is to spatially locate an arbitrarily-shaped object. In many applications, it is desirable ...
Shumeet Baluja, David Simon
DIAL
2004
IEEE
170views Image Analysis» more  DIAL 2004»
13 years 11 months ago
A General System for the Retrieval of Document Images from Digital Libraries
Large collections of scanned documents (books and journals) are now available in Digital Libraries. The most common method for retrieving relevant information from these collectio...
Simone Marinai, Emanuele Marino, Francesca Cesarin...
SIGIR
2006
ACM
14 years 1 months ago
Type less, find more: fast autocompletion search with a succinct index
We consider the following full-text search autocompletion feature. Imagine a user of a search engine typing a query. Then with every letter being typed, we would like an instant d...
Holger Bast, Ingmar Weber