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» Isophote Properties as Features for Object Detection
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CVPR
2003
IEEE
14 years 9 months ago
Kullback-Leibler Boosting
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
Ce Liu, Heung-Yeung Shum
ECCV
2010
Springer
12 years 1 months ago
Voting by Grouping Dependent Parts
Hough voting methods efficiently handle the high complexity of multiscale, category-level object detection in cluttered scenes. The primary weakness of this approach is however t...
Pradeep Yarlagadda, Antonio Monroy and Bjorn Ommer
ICMCS
1999
IEEE
181views Multimedia» more  ICMCS 1999»
13 years 11 months ago
Interactive Content-Based Retrieval in Video Databases Using Fuzzy Classification and Relevance Feedback
This paper presents an integrated framework for interactive content-based retrieval in video databases by means of visual queries. The proposed system incorporates algorithms for ...
Anastasios D. Doulamis, Yannis S. Avrithis, Nikola...
ICPR
2008
IEEE
14 years 8 months ago
Wavelet-based salient points with scale information for classification
The calculation of local features at points of interest is a vital part of many current image retrieval and object detection systems. The wavelet-based interest point detector by ...
Alexandra Teynor, Hans Burkhardt
MIR
2006
ACM
354views Multimedia» more  MIR 2006»
14 years 1 months ago
Constant tangential angle elected interest points
This paper presents a new interest points detector whose goal is to better catch visual attention than standard detectors. It is based on the generalization of Loy and Zelinsky tr...
Ahmed Rebai, Alexis Joly, Nozha Boujemaa