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dc.contributor.authorChattopadhyay, Siddhartha
dc.date.accessioned2014-03-04T02:49:56Z
dc.date.available2014-03-04T02:49:56Z
dc.date.issued2007-12
dc.identifier.otherchattopadhyay_siddhartha_200712_phd
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/chattopadhyay_siddhartha_200712_phd
dc.identifier.urihttp://hdl.handle.net/10724/24373
dc.description.abstractThe use of multimedia on mobile devices is fast becoming widespread and popular. Since mobile devices are typically resource constrained in terms of network bandwidth, battery power and available screen resolution, it is often necessary to formulate special encoding techniques in order to optimize for power consumption, and network bandwidth, during multimedia data playback and streaming. This dissertation reports the design and implementation of several novel content aware algorithms for compact representation, and dissemination, of multimedia data suitable for power -and -network constrained environments. The multimedia sub domains of computer animation data, videos, and images, have been considered. Content aware data processing is a key theme in all the proposed algorithms. Content information for animation data, represented as Motion Capture (MoCap) data, has been derived from the hierarchical structure of the virtual human associated with the data. For video sequences and images, low level content information, such as gradients, motion, curvature etc. have been detected, and exploited, in the proposed algorithms. Another key theme in the proposed algorithms is the elimination, or reduction, of spatio-temporal redundancy, occurring in MoCap and video sequences. The third key theme is the use of domain specific customization of data, in order to render the multimedia data more suited for resource-constrained environments. Several novel algorithms, based on these three key concepts, have been proposed for MoCap data compression suitable for power-and-network constrained devices. Several content aware image and video transcoding algorithms have been proposed, which transcode images and video sequences as multi-resolution, multi-layered representations, in order to allow power - and - network bandwidth adaptive video playback and dissemination. Results have shown significant power -and -network bandwidth - adaptive capabilities of the videos, which surpass performance of existing standards of layered video encoding. Further, several caching schemes have been developed in order to disseminate videos created using the proposed technologies to power -and network bandwidth - constrained clients over the Internet, resulting in cache designs with improved performance compared to existing cache designs. INDEX TERMS: MoCap compression, content aware video encoding, BAP-Sparsing, BAP-Indexing, BAP-Sparse-Indexing, FMOE-MR, MMR, Ligne-Claire video, HLV, QAPD, content aware image encoding, layered video encoding, multi-resolution video, layered video caching, cache replacement policy, LGDS
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectMoCap compression
dc.subjectcontent aware video encoding
dc.subjectBAP-Sparsing
dc.subjectBAP-Indexing
dc.subjectBAP-Sparse-Indexing
dc.subjectFMOE-MR
dc.subjectMMR
dc.subjectLigne-Claire video
dc.subjectHLV
dc.subjectQAPD
dc.subjectcontent aware image encoding
dc.subjectlayered video encoding
dc.subjectmulti-resolution video
dc.subjectlayered video caching
dc.subjectcache repl
dc.titleContent aware multimedia transcoding for resource constrained environments
dc.typeDissertation
dc.description.degreePhD
dc.description.departmentComputer Science
dc.description.majorComputer Science
dc.description.advisorSuchendra M. Bhandarkar
dc.description.committeeSuchendra M. Bhandarkar
dc.description.committeeKhaled Rasheed
dc.description.committeeKang Li


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