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» Scale Space Exploration For Mining Image Information Content
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SCALESPACE
2007
Springer
13 years 11 months ago
Combining Different Types of Scale Space Interest Points Using Canonical Sets
Scale space interest points capture important photometric and deep structure information of an image. The information content of such points can be made explicit using image recons...
Frans Kanters, Trip Denton, Ali Shokoufandeh, Luc ...
SDM
2007
SIAM
201views Data Mining» more  SDM 2007»
13 years 6 months ago
Fast Best-Match Shape Searching in Rotation Invariant Metric Spaces
Object recognition and content-based image retrieval systems rely heavily on the accurate and efficient identification of shapes. A fundamental requirement in the shape analysis ...
Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng...
SISAP
2009
IEEE
134views Data Mining» more  SISAP 2009»
14 years 5 hour ago
Searching by Similarity and Classifying Images on a Very Large Scale
—In the demonstration we will show a system for searching by similarity and automatically classifying images in a very large dataset. The demonstrated techniques are based on the...
Giuseppe Amato, Pasquale Savino
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
14 years 1 days ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen
SIGIR
1992
ACM
13 years 9 months ago
Bead: Explorations in Information Visualization
ct We describe work on the visualization of bibliographic data and, to aid in this task, the application of numerical techniques for multidimensional scaling. Many areas of scienti...
Matthew Chalmers, Paul Chitson