Document Type

Thesis

Date of Degree

Spring 2015

Degree Name

MS (Master of Science)

Degree In

Electrical and Computer Engineering

First Advisor

Gary Christensen

Abstract

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.

Public Abstract

People like to watch videos. Videos need to be made smaller to be transmitted to the viewer. Keeping videos compact without destroying how they look is challenging. To keep videos compact and looking clear requires innovative techniques and strategies. This research looks at some of those strategies and explores new ones as well. Among other things this research explored automating how a video can be broken into its separate parts, improving the speed at which videos can be compressed, and making videos clearer. If done correctly, then the average consumer should have no idea that anything has happened other than their video download speed has improved. For example if the average college student’s cell-phone data plan only allows them to watch 120 videos in a month, this research explores ways of allowing that same student to watch 240 videos with the same data plan.

Keywords

publicabstract, encoding, hevc, segmentation, transcoding, video

Pages

ix, 49 pages

Bibliography

Includes bibliographical references (pages 48-49).

Copyright

Copyright 2015 John David Stobaugh

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