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Title:Multiple Description Video Coding and Digital Walkthrough Compression Using Coset Codes
Author(s):Jagmohan, Ashish
Doctoral Committee Chair(s):Ahuja, Narendra
Department / Program:Electrical Engineering
Discipline:Electrical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Computer Science
Abstract:Causal source coding is widely used for low-latency compression of real-world audio and video signals. The most prominent class of causal source codes used in this context are codes based on differential predictive coding. Differential predictive coding is ill-suited, however, for coding scenarios characterized by encoder uncertainty regarding decoder reconstructions. In this thesis we present a coset code based causal coding framework, motivated by the Wyner-Ziv coding methodology for the information theoretic decoder side-information paradigm, for source compression in such scenarios. In particular, this thesis addresses the problems of two-channel predictive multiple description coding, and compression for streaming of digital walkthrough data. We demonstrate how coset code based constructions can be used to provide efficient, low-latency compression for these problems. Evaluation of the presented constructions, on idealized and real-world video sources, confirms the promise of the proposed framework.
Issue Date:2004
Description:124 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.
Other Identifier(s):(MiAaPQ)AAI3153329
Date Available in IDEALS:2015-09-25
Date Deposited:2004

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