Multiple Description Video Coding and Digital Walkthrough Compression Using Coset Codes

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Jagmohan, Ashish

Contributors dc:contributor

• Ahuja, Narendra

• Computer Science

Language dc:language

eng

Identifier

(MiAaPQ)AAI3153329

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/80879