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Entropy compression

In mathematics and theoretical computer science, entropy compression is an information theoretic method for proving that a random process terminates… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Following the groundbreaking works of Moser and Tardos~\cite{M,MT} that made the Lov\'asz Local Lemma (LLL) constructive, a… 
2015
2015
Preprocessing texts of huge size to answer substring queries is not trivial whenever considering realistic models. We approach… 
2015
2015
This dissertation presents our research in the broad area of algorithms and data structures. More specifically, we show solutions… 
2014
2014
Digital raster images are 2D matrices of values that, when printed, compose the image we are familiar with. When these arrays… 
2014
2014
This Paper deals with the Evaluation, Analysis and Algorithm of Context Adaptive Binary Arithmetic coding (CABAC) MPEG-4 Video… 
2007
2007
In this paper, we present a new image compression scheme, which is specially designed for computer generated compound color… 
2006
2006
We consider a central problem in text indexing: Given a text T over an alphabet (cid:6), construct a compressed data structure… 
2001
2001
  • R. OsorioB. Vanhoof
  • 2001
  • Corpus ID: 60515311
In state-of-the-art multimedia compression standards, arithmetic coding is widely used as a powerful entropy compression method… 
1999
1999
Most current image-based rendering methods operate under the assumption that all of the visible surfaces in the scene are opaque… 
1998
1998
This paper presents a real-time entropy compression/decompression unit for disparity map information used in 3D teleconferencing…