Note
Includes bibliography.
Member of
Contributors
Publisher
Florida Atlantic University
Date Issued
2014
EDTF Date Created
2014
Description
The main goal of video coding algorithms is to achieve high compression efficiency while
maintaining quality of the compressed signal at the highest level. Human visual system is
the ultimate receiver of compressed signal and final judge of its quality. This dissertation
presents work towards optimal video compression algorithm that is based on the
characteristics of our visual system. Modeling phenomena such as backward temporal
masking and motion masking we developed algorithms that are implemented in the state-of-
the-art video encoders. Result of using our algorithms is visually lossless compression
with improved efficiency, as verified by standard subjective quality and psychophysical
tests. Savings in bitrate compared to the High Efficiency Video Coding / H.265 reference
implementation are up to 45%.
maintaining quality of the compressed signal at the highest level. Human visual system is
the ultimate receiver of compressed signal and final judge of its quality. This dissertation
presents work towards optimal video compression algorithm that is based on the
characteristics of our visual system. Modeling phenomena such as backward temporal
masking and motion masking we developed algorithms that are implemented in the state-of-
the-art video encoders. Result of using our algorithms is visually lossless compression
with improved efficiency, as verified by standard subjective quality and psychophysical
tests. Savings in bitrate compared to the High Efficiency Video Coding / H.265 reference
implementation are up to 45%.
Language
Type
Form
Extent
89 p.
Subject (Topical)
Identifier
FA00004074
Additional Information
Includes bibliography.
Dissertation (Ph.D.)--Florida Atlantic University, 2014.
FAU Electronic Theses and Dissertations Collection
Date Backup
2014
Date Created Backup
2014
Date Text
2014
Date Created (EDTF)
2014
Date Issued (EDTF)
2014
Extension
FAU
IID
FA00004074
Organizations
Attributed name: Florida Atlantic University
Attributed name: College of Engineering and Computer Science
Person Preferred Name
Adzic, Velibor
author
Graduate College
Physical Description
application/pdf
89 p.
Title Plain
Perceptual methods for video coding
Use and Reproduction
Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
http://rightsstatements.org/vocab/InC/1.0/
Origin Information
2014
2014
Florida Atlantic University
Boca Raton, Fla.
Physical Location
Florida Atlantic University Libraries
Place
Boca Raton, Fla.
Sub Location
Digital Library
Title
Perceptual methods for video coding
Other Title Info
Perceptual methods for video coding