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104
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WWW
2009
ACM
16 years 1 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...
114
Voted
MMM
2009
Springer
218views Multimedia» more  MMM 2009»
15 years 9 months ago
Sparse Multiscale Patches (SMP) for Image Categorization
Abstract. In this paper we address the task of image categorization using a new similarity measure on the space of Sparse Multiscale Patches (SMP). SMPs are based on a multiscale t...
Paolo Piro, Sandrine Anthoine, Eric Debreuve, Mich...
94
Voted
ICAPR
2005
Springer
15 years 6 months ago
Semantic-Based Cross-Media Image Retrieval
In this paper, we propose a new method to cross-media semantic-based information retrieval, which combines classical text-based and content-based image retrieval techniques. This ...
Ahmed Id Oumohmed, Max Mignotte, Jian-Yun Nie
108
Voted
VISUAL
1999
Springer
15 years 5 months ago
General Image Database Model
In this paper we propose a new General Image DataBase (GIDB) model. The model establishes taxonomy based on the systematisation of existing approaches. The GIDB model is based on t...
Peter L. Stanchev
99
Voted
ICIP
1998
IEEE
15 years 4 months ago
Knowledge-based Segmentation of SAR Images
A new approach for the segmentation of still and video SAR images is described in this paper. A priori knowledge about the objects present in the image, e.g., target, shadow, and ...
Steven Haker, Guillermo Sapiro, Allen Tannenbaum