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PAMI
2008
250views more  PAMI 2008»
13 years 7 months ago
Combined Top-Down/Bottom-Up Segmentation
We construct an image segmentation scheme that combines top-down (TD) with bottom-up (BU) processing. In the proposed scheme, segmentation and recognition are intertwined rather th...
Eran Borenstein, Shimon Ullman
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
14 years 4 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
ICIP
2002
IEEE
14 years 9 months ago
Objective evaluation of segmentation quality using spatio-temporal context
In this paper, we propose an automatic method for the objective evaluation of segmentation results. The method is based on computing the deviation of the segmentation results from...
Andrea Cavallaro, Elisa Drelie Gelasca, Touradj Eb...
ICCV
2005
IEEE
14 years 9 months ago
A Shape-Based Segmentation Approach: An Improved Technique Using Level Sets
We propose a novel approach for shape-based segmentation based on a specially designed level set function format. This format permits us to better control the process of object re...
Hossam E. Abd El Munim, Aly A. Farag
DAGM
2009
Springer
14 years 2 months ago
Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times
The purpose of image segmentation is to partition the pixel grid of an image into connected components termed segments such that (i) each segment is homogenous and (ii) for any pai...
Björn Andres, Ullrich Köthe, Andreea Bon...