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» New Features to Identify Computer Generated Images
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MMSP
2008
IEEE
349views Multimedia» more  MMSP 2008»
15 years 10 months ago
Content based image retrieval using curvelet transform
Abstract—Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic...
Ishrat Jahan Sumana, Md. Monirul Islam, Dengsheng ...
ICMCS
2007
IEEE
136views Multimedia» more  ICMCS 2007»
15 years 10 months ago
An Image Secret Sharing Scheme with the Capability of Previvewing the Secret Image
Some (k, n)-threshold image secret sharing schemes encrypt the secret image into n noise-like shadow images with size 1/k times that of the original secret image. The small size o...
Ching-Nung Yang, Tse-Shih Chen
129
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PG
2002
IEEE
15 years 9 months ago
Example-Based Caricature Generation with Exaggeration
In this paper, we present a system that automatically generates caricatures from input face images. From example caricatures drawn by an artist, our caricature system learns how a...
Lin Liang, Hong Chen, Ying-Qing Xu, Heung-Yeung Sh...
JCDL
2004
ACM
125views Education» more  JCDL 2004»
15 years 9 months ago
Generating fuzzy semantic metadata describing spatial relations from images using the R-histogram
Automatic generation of semantic metadata describing spatial relations is highly desirable for image digital libraries. Relative spatial relations between objects in an image conv...
Yuhang Wang, Fillia Makedon, James Ford, Li Shen, ...
ICML
2006
IEEE
16 years 5 months ago
Combining discriminative features to infer complex trajectories
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
David A. Ross, Simon Osindero, Richard S. Zemel