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CVPR
2001
IEEE
14 years 10 months ago
Object Based Segmentation of Video Using Color, Motion and Spatial Information
Video segmentation is different from segmentation of a single image. While several correct solutions may exist for segmenting a single image, there needs to be a consistency among...
Sohaib Khan, Mubarak Shah
ICPR
2000
IEEE
14 years 9 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...
CVPR
2000
IEEE
14 years 10 months ago
A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional
In this work, we approach the classic Mumford-Shah problem from a curve evolution perspective. In particular, we let a given family of curves define the boundaries between regions...
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
ICIP
2005
IEEE
14 years 9 months ago
A motion-based binary partition tree approach to video object segmentation
This paper describes an approach for generating Binary Partition Tree [7] representations and video object segmentations using a novel region merging strategy based on motion simi...
Camilo C. Dorea, Ferran Marqués, Montse Par...
PAMI
2006
99views more  PAMI 2006»
13 years 7 months ago
A New Convexity Measure Based on a Probabilistic Interpretation of Images
In this article we present a novel convexity measure for object shape analysis. The proposed method is based on the idea of generating pairs of points from a set, and measuring th...
Esa Rahtu, Mikko Salo, Janne Heikkilä