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» Improving Bag-of-Features for Large Scale Image Search
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CVPR
2009
IEEE
16 years 4 months ago
Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images
Recently, we proposed marginal space learning (MSL) as a generic approach for automatic detection of 3D anatom- ical structures in many medical imaging modalities. To accurately...
Yefeng Zheng, Bogdan Georgescu, Haibin Ling, Shaoh...
MIR
2005
ACM
133views Multimedia» more  MIR 2005»
15 years 3 months ago
Probabilistic web image gathering
We propose a new method for automated large scale gathering of Web images relevant to specified concepts. Our main goal is to build a knowledge base associated with as many conce...
Keiji Yanai, Kobus Barnard
73
Voted
CVPR
1997
IEEE
15 years 1 months ago
FOCUS: Searching for Multi-colored Objects in a Diverse Image Database
We describe a new multi-phase, color-based image retrieval system, FOCUS Fast Object Color-based qUery System, with an online user interface which is capable of identifying mult...
Madirakshi Das, Edward M. Riseman, Bruce A. Draper
TIP
2008
142views more  TIP 2008»
14 years 9 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...
ECCV
2008
Springer
15 years 11 months ago
Multi-scale Improves Boundary Detection in Natural Images
In this work we empirically study the multi-scale boundary detection problem in natural images. We utilize local boundary cues including contrast, localization and relative contras...
Xiaofeng Ren