Multiple Description Video Coding and Digital Walkthrough Compression Using Coset Codes
Jagmohan, Ashish
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https://hdl.handle.net/2142/80879
Description
Title
Multiple Description Video Coding and Digital Walkthrough Compression Using Coset Codes
Author(s)
Jagmohan, Ashish
Issue Date
2004
Doctoral Committee Chair(s)
Ahuja, Narendra
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
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.
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