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oai:www.ideals.illinois.edu:2142/80885 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Ahuja, Narendra Sehgal, Anshul 2015-09-25T20:08:38Z 2015-09-25T20:08:38Z 10000-01-01 2004 2004 The proliferation of digital image capture devices and the Internet have fueled a tremendous amount of research in the fields of multimedia signal processing and multimedia communication over the last decade. This dissertation addresses the problem of compression and communication of multimedia content over unreliable channels. We propose an alternative to the conventional predictive coding of video based on the formulation of predictive coding as a variant of the Wyner-Ziv side-information problem in information theory. Through this formulation we propose the design of two video coding algorithms that encode video signals in a bandwidth scalable and error-resilient manner, respectively. Empirical evaluation confirms that the proposed coding approach compresses video signals with minimal source coding loss over conventional approaches, while simultaneously providing flexibility and resilience in the context of communication over unreliable channels. Made available in DSpace on 2015-09-25T20:08:38Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3153422.pdf: 5414937 bytes, checksum: dd9dba14aa69ccc24c773cf85c1f6598 (MD5) Previous issue date: 2004 Embargo set by: Seth Robbins for item 82167 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 92 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004. http://hdl.handle.net/2142/80885 (MiAaPQ)AAI3153422 eng Engineering, Electronics and Electrical Scalable Predictive Coding Using Coset Codes text Ph.D. Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation