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» Region Based Segmentation Using the Tree of Shapes
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ECCV
2000
Springer
16 years 4 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
ECCV
2008
Springer
16 years 5 months ago
Learning Spatial Context: Using Stuff to Find Things
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Geremy Heitz, Daphne Koller
ISM
2006
IEEE
209views Multimedia» more  ISM 2006»
15 years 9 months ago
Holistic Comparison of Text Images for Content-Based Retrieval
The accurate recognition of text that appears in images/videos using analytical character recognition methods is often very difficult, despite the fact that the text might be corr...
Julinda Gllavata, Ermir Qeli, Bernd Freisleben
CEC
2010
IEEE
15 years 4 months ago
Automatic construction of image transformation algorithms using feature based genetic image network
Image processing and recognition technologies are becoming increasingly important. Automatic construction methods for image transformation algorithms proposed to date approximate a...
Yuta Nakano, Shinichi Shirakawa, Noriko Yata, Tomo...
ISBI
2011
IEEE
14 years 6 months ago
Group sparsity based classification for cervigram segmentation
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, usi...
Yang Yu, Junzhou Huang, Shaoting Zhang, Christophe...