Snowbird, Utah

Mar. 24, 2010 to Mar. 26, 2010

ISBN: 978-0-7695-3994-2

pp: 179-188

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DCC.2010.23

ABSTRACT

Bi-directional context sets extend the classical context-tree modeling framework to situations in which the observations consist of two tracks or directions. In this paper, we study the problem of efficiently finding an optimal bi-directional context set for a given data sequence and loss function. This problem has applications in data compression, prediction, and denoising. The main tool in our construction is a new data structure, the compact bi-directional context graph, which generalizes compact suffix trees to two directions.

INDEX TERMS

context modeling, bi-directional models, suffix trees, compact bi-directional context graphs

CITATION

Fernando Fernández,
Alfredo Viola,
Marcelo J. Weinberger,
"Efficient Algorithms for Constructing Optimal Bi-directional Context Sets",

*DCC*, 2010, Data Compression Conference, Data Compression Conference 2010, pp. 179-188, doi:10.1109/DCC.2010.23