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» Learning to compress images and videos
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ICIP
2006
IEEE
15 years 11 months ago
On the Information Rate of the Plenoptic Function
We study the compression problem of visual scenes acquired with a camera for transmission or storage. Our proposed model is general and includes two well-known cases: that of vide...
Arthur L. da Cunha, Minh N. Do, Martin Vetterli
ICIP
2010
IEEE
14 years 7 months ago
Compressed domain global motion estimation using the Helmholtz Tradeoff Estimator
Several algorithms for global motion estimation in video sequences using pixel- or block-based approaches have been published. Most known pixel-based methods lack in performance w...
Michael Tok, Alexander Glantz, Marina Georgia Arva...
WACV
2005
IEEE
15 years 3 months ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
ICIP
2008
IEEE
15 years 11 months ago
Learning action dictionaries from video
Summarizing the contents of a video containing human activities is an important problem in computer vision and has important applications in automated surveillance systems. Summar...
Pavan K. Turaga, Rama Chellappa
MMS
2000
14 years 9 months ago
Failure Recovery Algorithms for Multimedia Servers
In this paper, we present two novel disk failure recovery methods that utilize the inherent characteristics of video streams for efficient recovery. Whereas the first method explo...
Prashant J. Shenoy, Harrick M. Vin