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ICPR
2008
IEEE
14 years 8 months ago
A discriminative semi-Markov model for robust scene text recognition
We present a semi-Markov model for recognizing scene text that integrates character and word segmentation with recognition. Using wavelet features, it requires only approximate lo...
Allen R. Hanson, Erik G. Learned-Miller, Jerod J. ...
CVIU
2006
162views more  CVIU 2006»
13 years 7 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
CGF
1999
75views more  CGF 1999»
13 years 7 months ago
Modeling and Rendering Escher-Like Impossible Scenes
Inspired by the drawings of "impossible" objects by artists such as M.C. Escher, we describe a mathematical theory which captures some of the underlying principles of th...
Guillermo Savransky, Dan Dimerman, Craig Gotsman
ICPR
2006
IEEE
14 years 8 months ago
Modelling Crowd Scenes for Event Detection
This work presents an automatic technique for detection of abnormal events in crowds. Crowd behaviour is difficult to predict and might not be easily semantically translated. More...
Ernesto L. Andrade, Robert B. Fisher, Scott Blunsd...
ECCV
2008
Springer
13 years 9 months ago
Scene Segmentation Using the Wisdom of Crowds
Given a collection of images of a static scene taken by many different people, we identify and segment interesting objects. To solve this problem, we use the distribution of images...
Ian Simon, Steven M. Seitz