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» A Probability Model for Image Annotation
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CVPR
1999
IEEE
16 years 3 months ago
Independent Motion: The Importance of History
We consider a problem central in aerial visual surveillance applications { detection and tracking of small, independently moving objects in long and noisy video sequences. We dire...
Robert Pless, Tomás Brodský, Yiannis...
ICCV
1999
IEEE
15 years 6 months ago
Learning Low-Level Vision
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...
William T. Freeman, Egon C. Pasztor
PG
2003
IEEE
15 years 7 months ago
Illustration Watermarks for Vector Graphics
Digital watermarking is a technique for embedding information into data, such as images, 3D models, or audio files, such that some properties (i. e., security, imperceptibility, ...
Henry Sonnet, Tobias Isenberg, Jana Dittmann, Thom...
103
Voted
TCSV
2008
124views more  TCSV 2008»
15 years 1 months ago
A Novel Look-Up Table Design Method for Data Hiding With Reduced Distortion
Look-up table (LUT)-based data hiding is a simple and efficient technique to hide secondary information (watermark) into multimedia work for various applications such as copyright ...
Xiao-Ping Zhang, Kan Li, Xiaofeng Wang
125
Voted
AMDO
2006
Springer
15 years 5 months ago
Monocular Tracking with a Mixture of View-Dependent Learned Models
This paper considers the problem of monocular human body tracking using learned models. We propose to learn the joint probability distribution of appearance and body pose using a m...
Tobias Jaeggli, Esther Koller-Meier, Luc J. Van Go...