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» Kernels on bags for multi-object database retrieval
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CIVR
2007
Springer
120views Image Analysis» more  CIVR 2007»
13 years 11 months ago
Kernels on bags for multi-object database retrieval
In this paper, a kernel-based method for multi-object retrieval in large image database is presented. First, our approach exploits a fuzzy region segmentation approach in order to...
Philippe Henri Gosselin, Matthieu Cord, Sylvie Phi...
ICIP
2007
IEEE
14 years 6 months ago
Kernels on Bags of Fuzzy Regions for Fast Object retrieval
We propose in this paper a general kernel framework to deal with database object retrieval embedded in images with heterogeneous background. We use local features computed on fuzz...
Philippe Henri Gosselin, Matthieu Cord, Sylvie Phi...
ECCV
2006
Springer
14 years 6 months ago
Learning Compositional Categorization Models
Abstract. This contribution proposes a compositional approach to visual object categorization of scenes. Compositions are learned from the Caltech 101 database1 intermediate abstra...
Björn Ommer, Joachim M. Buhmann
CIVR
2009
Springer
212views Image Analysis» more  CIVR 2009»
13 years 11 months ago
Video copy detection by fast sequence matching
Sequence matching techniques are effective for comparing two videos. However, existing approaches suffer from demanding computational costs and thus are not scalable for large-sca...
Mei-Chen Yeh, Kwang-Ting Cheng
CVPR
2007
IEEE
14 years 6 months ago
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukt...