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» Discrete optimization in computer vision
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ECCV
2010
Springer
15 years 9 months ago
SuperParsing: Scalable Nonparametric Image Parsing with Superpixels
This paper presents a simple and effective nonparametric approach to the problem of image parsing, or labeling image regions (in our case, superpixels produced by bottom-up segmen...
EMMCVPR
2001
Springer
15 years 9 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
SCALESPACE
2001
Springer
15 years 8 months ago
Down-Scaling for Better Transform Compression
Abstract. The most popular lossy image compression method used on the Internet is the JPEG standard. JPEG’s good compression performance and low computational and memory complexi...
Alfred M. Bruckstein, Michael Elad, Ron Kimmel
ICPR
2010
IEEE
15 years 8 months ago
Large Margin Classifier Based on Affine Hulls
This paper introduces a geometrically inspired large-margin classifier that can be a better alternative to the Support Vector Machines (SVMs) for the classification problems with ...
Hakan Cevikalp, Hasan Serhan Yavuz
ACCV
1998
Springer
15 years 8 months ago
Motion Compensated Color Video Classification Using Markov Random Fields
Abstract. This paper deals with the classification of color video sequences using Markov Random Fields (MRF) taking into account motion information. The theoretical framework relie...
Zoltan Kato, Ting-Chuen Pong, John Chung-Mong Lee