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ICASSP
2011
IEEE
14 years 10 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...

Publication
285views
15 years 10 months ago
Center of mass encoding: a self-adaptive representation with adjustable redundancy for real-valued parameters
In this paper we describe a new class of representations for realvalued parameters called Center of Mass Encoding (CoME). CoME is based on variable length strings, it is self-adap...
Claudio Mattiussi, Peter Dürr, Dario Floreano
TMC
2012
13 years 9 months ago
The Boomerang Protocol: Tying Data to Geographic Locations in Mobile Disconnected Networks
—We present the boomerang protocol to efficiently retain information at a particular geographic location in a sparse network of highly mobile nodes without using infrastructure ...
Tingting Sun, Bin Zan, Yanyong Zhang, Marco Grutes...
ECCV
2006
Springer
16 years 8 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker
PERCOM
2006
ACM
16 years 6 months ago
Context-Aware Resource Management in Multi-Inhabitant Smart Homes: A Nash H-Learning based Approach
A smart home aims at building intelligence automation with a goal to provide its inhabitants with maximum possible comfort, minimize the resource consumption and thus overall cost...
Nirmalya Roy, Abhishek Roy, Sajal K. Das