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          <dc:contributor>Ahuja, Narendra</dc:contributor>
          <dc:creator>Jagmohan, Ashish</dc:creator>
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          <dc:date>2004</dc:date>
          <dc:date>2004</dc:date>
          <dc:description>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.</dc:description>
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Lift date: Forever
Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs</dc:description>
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          <dc:title>Multiple Description Video Coding and Digital Walkthrough Compression Using Coset Codes</dc:title>
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