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» New Features to Identify Computer Generated Images
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IVCNZ
1998
15 years 6 months ago
On Comparing Two Scenarios for Probabilistic Image Modelling
Traditional scenario of probabilistic modelling is directed at generating samples having a given probability distribution. We argue that this scenario is impracticable for image m...
Georgy L. Gimel'farb
COLING
2008
15 years 6 months ago
Pedagogically Useful Extractive Summaries for Science Education
This paper describes the design and evaluation of an extractive summarizer for educational science content called COGENT. COGENT extends MEAD based on strategies elicited from an ...
Sebastian de la Chica, Faisal Ahmad, James H. Mart...
ICPR
2010
IEEE
15 years 2 months ago
Active Calibration of Camera-Projector Systems Based on Planar Homography
This paper presents a simple and active calibration technique of camera-projector systems based on planar homography. From the camera image of a planar calibration pattern, we gene...
Soon-Yong Park, Go Gwang Park
ICPR
2002
IEEE
16 years 5 months ago
Consistent Line Clusters for Building Recognition in CBIR
This paper introduces a new mid-level feature, the consistent line cluster, for use in content-based image retrieval. The color, orientation, and spatial features of line segments...
Yi Li, Linda G. Shapiro
BMVC
2001
15 years 7 months ago
Recognition and retrieval via histogram trees
This paper explores a new method for analysing and comparing image histograms. The technique amounts to a novel way of backprojecting an image into one with fewer, statistically s...
Stuart Gibson, Richard Harvey