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» Features for Image Retrieval: A Quantitative Comparison
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MICCAI
2010
Springer
13 years 6 months ago
Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images
Abstract. A new algorithm is presented for the automatic segmentation of Multiple Sclerosis (MS) lesions in 3D MR images. It builds on the discriminative random decision forest fra...
Ezequiel Geremia, Bjoern H. Menze, Olivier Clatz, ...
ICIP
2001
IEEE
14 years 9 months ago
VISMap: an interactive image/video retrieval system using visualization and concept maps
Images and videos can be indexed by multiple features at different levels, such as color, texture, motion, and text annotation. Organizing this information into a system so that u...
William Chen, Shih-Fu Chang
AMR
2007
Springer
197views Multimedia» more  AMR 2007»
14 years 1 months ago
How to Use SIFT Vectors to Analyze an Image with Database Templates
During last years, local image descriptors have received much attention because of their efficiency for several computer vision tasks such as image retrieval, image comparison, fea...
Adrien Auclair, Laurent D. Cohen, Nicole Vincent
BCS
2008
13 years 9 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...
CVPR
2010
IEEE
13 years 7 months ago
Region moments: Fast invariant descriptors for detecting small image structures
This paper presents region moments, a class of appearance descriptors based on image moments applied to a pool of image features. A careful design of the moments and the image fea...
Gianfranco Doretto, Yi Yao