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ECCV
2008
Springer
14 years 6 months ago
A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook
In patch-based object recognition, using a compact visual codebook can boost computational efficiency and reduce memory cost. Nevertheless, compared with a large-sized codebook, it...
Lei Wang, Luping Zhou, Chunhua Shen
ICCV
2009
IEEE
1824views Computer Vision» more  ICCV 2009»
14 years 9 months ago
Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel
Common visual codebook generation methods used in a Bag of Visual words model, e.g. k-means or Gaussian Mixture Model, use the Euclidean distance to cluster features into visual...
Jianxin Wu, James M. Rehg
CVPR
2006
IEEE
13 years 11 months ago
Fast Compact City Modeling for Navigation Pre-Visualization
Nowadays, GPS-based car navigation systems mainly use speech and aerial views of simplified road maps to guide drivers to their destination. However, drivers often experience dif...
Nico Cornelis, Kurt Cornelis, Luc J. Van Gool
MM
2010
ACM
402views Multimedia» more  MM 2010»
13 years 3 months ago
Discriminative codeword selection for image representation
Bag of features (BoF) representation has attracted an increasing amount of attention in large scale image processing systems. BoF representation treats images as loose collections...
Lijun Zhang 0005, Chun Chen, Jiajun Bu, Zhengguang...
MM
2010
ACM
199views Multimedia» more  MM 2010»
13 years 5 months ago
TOP-SURF: a visual words toolkit
TOP-SURF is an image descriptor that combines interest points with visual words, resulting in a high performance yet compact descriptor that is designed with a wide range of conte...
Bart Thomee, Erwin M. Bakker, Michael S. Lew