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» Selective use of multiple entropy models in audio coding
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DCC
2006
IEEE
14 years 5 months ago
The B-coder: An Improved Binary Arithmetic Coder and Probability Estimator
In this paper we present the B-coder, an efficient binary arithmetic coder that performs extremely well on a wide range of data. The B-coder should be classed as an `approximate&#...
Benjamin Kelly, David F. Brailsford
DCC
2007
IEEE
14 years 5 months ago
Multiple-Description Coding by Dithered Delta-Sigma Quantization
We address the connection between the multiple-description (MD) problem and Delta-Sigma quantization. The inherent redundancy due to oversampling in Delta-Sigma quantization, and ...
Jan Østergaard, Ram Zamir
AVSS
2008
IEEE
14 years 4 days ago
Person Tracking with Audio-Visual Cues Using the Iterative Decoding Framework
Tracking humans in an indoor environment is an essential part of surveillance systems. Vision based and microphone array based trackers have been extensively researched in the pas...
Shankar T. Shivappa, Mohan M. Trivedi, Bhaskar D. ...
ICASSP
2011
IEEE
12 years 9 months ago
Region-adaptive probability model selection for the arithmetic coding of video texture
In video coding systems using adaptive arithmetic coding to compress texture information, the employed symbol probability models need to be retrained every time the coding process...
Kenneth Vermeirsch, Joeri Barbarien, Peter Lambert...
JMLR
2011
148views more  JMLR 2011»
13 years 18 days ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara