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» Features for image retrieval: an experimental comparison
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WWW
2009
ACM
14 years 8 months ago
Detecting image spam using local invariant features and pyramid match kernel
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, we extract local invariant features ...
Haiqiang Zuo, Weiming Hu, Ou Wu, Yunfei Chen, Guan...
ADL
1997
Springer
171views Digital Library» more  ADL 1997»
13 years 11 months ago
Wavelet-Based Image Indexing Techniques with Partial Sketch Retrieval Capability
This paper describes WBIIS Wavelet-Based Image Indexing and Searching, a new image indexing and retrieval algorithm with partial sketch image searching capability for large imag...
James Ze Wang, Gio Wiederhold, Oscar Firschein, Sh...
ISVC
2009
Springer
14 years 1 months ago
A Bag of Features Approach for 3D Shape Retrieval
In this paper, we present an adaptation the Bag of Features (BoF) concept to 3D shape retrieval problems. The BoF approach has recently become one of the most popular methods in 2D...
Janis Fehr, Alexander Streicher, Hans Burkhardt
CVPR
2003
IEEE
14 years 9 months ago
3D Model Retrieval With Morphing-Based Geometric and Topological Feature Maps
Recent advancement in 3D digitization techniques have prompted to the need for 3D object retrieval. Our method of comparing 3D objects for retrieval is based on 3D morphing. It co...
Meng Yu, Indriyati Atmosukarto, Wee Kheng Leow, Zh...
CIIA
2009
13 years 8 months ago
Color Quantization and its Impact on Color Histogram Based Image Retrieval
The comparison of color histograms is one of the most widely used techniques for Content-Based Image Retrieval. Before establishing a color histogram in a defined model (RGB, HSV o...
Khouloud Meskaldji, Samia Boucherkha, Salim Chikhi