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Novel use of video and image analysis in a video compression system

As consumer demand for higher quality video at lower bit-rate increases, so does the need for more sophisticated methods of compressing videos into manageable file sizes. This research attempts to address these concerns while still maintaining reasonable encoding times. Modern segmentation and grouping analysis are used with code vectorization techniques and other optimization paradigms to improve quality and performance within the next generation coding standard, High Efficiency Video Coding. This research saw on average a 50% decrease in run-time by the encoder with marginal decreases in perceived quality.

Identiferoai:union.ndltd.org:uiowa.edu/oai:ir.uiowa.edu:etd-5818
Date01 May 2015
CreatorsStobaugh, John David
ContributorsChristensen, Gary Edward
PublisherUniversity of Iowa
Source SetsUniversity of Iowa
LanguageEnglish
Detected LanguageEnglish
Typethesis
Formatapplication/pdf
SourceTheses and Dissertations
RightsCopyright 2015 John David Stobaugh

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