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Abstract: We describe an algorithm for segmenting a novel image based on the available segmentation of another image. The algorithm consists of two stages. In the first stage we construct a locally connected graph to represent the novel image. This graph is obtained by inheriting local connectivity between pixels based on the similarity of small neighborhoods in the two images. In the second stage a graph parititioning algorithm is used to partition the graph and recover the resulting segments in the... (Update)
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BibTeX entry: (Update)
@misc{ agarwal-segmentation,
author = "Sameer Agarwal and Serge Belongie",
title = "Segmentation by Example",
url = "citeseer.ist.psu.edu/526411.html" }
Citations (may not include all citations):125 Texture synthesis by non-parametric sampling - Efros, Leung - 1999
72 On spectral clustering: Analysis and an algorithm - Ng, Jordan et al. - 2001
52 Contour and texture analysis for image segmentation - Malik, Belongie et al. - 2001
36 Image analogies - Hertzmann, Jacobs et al. - 2001
29 Parallel integration of vision modules (context) - Poggio, Gamble et al. - 1988
25 Non-parametric similarity measures for unsupervised texture .. - Puzicha, Hofmann et al. - 1997
18 top-down segmentation (context) - Borenstein, Ullman - 2002
18 Pattern Analysis and Machine Intelligence (context) - Shi, Malik et al. - 2000
5 Vision Science (context) - Palmer - 1999
5 Segmentation of textured images (context) - Perry, Lowe - 1989
4 Learning segmentation with random walk (context) - Meila, Shi - 2000
2 relocalisation (context) - Scott, Longuet-Higgins et al. - 1990
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