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TITLE: On Optimal Fix-free Codes
SPEAKER: Serap Savari (Texas A&M University)
DATE: 2:00 - 3:00 PM, Wednesday, May 6, 2009
LOCATION: Tahoe, 3U
ABSTRACT:
Fix-free codes are variable length codes in which no codeword is the
prefix or suffix of another codeword. They have been investigated for
joint source-channel coding and have been applied within the video
standards H.263+ and MPEG-4 because their property of efficient
decoding in both the forward and backward directions assists with
error resilience. They are also interesting for problems in
information retrieval such as searching for patterns directly in
compressed text. We provide a low-complexity heuristic to produce
fix-free codes. The design of optimal or minimum-redundancy fix-free
codes has been a longstanding open problem. We offer the first
solution both to this problem and to a variation in which all
codewords are also required to be palindromes.
BIOGRAPHY:
Serap Savari is an Associate Professor in the Department of Electrical
and Computer Engineering at Texas A&M University. She received four
degrees from MIT. Professor Savari was a Member of Technical Staff in
the Computing Sciences Research Center at Bell Labs from 1996-2003 and
was an Associate Professor at the University of Michigan from
2004-2007. Her research interests include information theory and data
compression. She was an Associate Editor for Source Coding for the
IEEE Transactions on Information Theory from 2002-2005. She was the
Bell Labs representative to the DIMACS council from 2001-2003 and has
been a member of the program committees for many conferences and
workshops.
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