ERA

Download the full-sized PDF of Foveation-Based Video CodingDownload the full-sized PDF

Analytics

Share

Permanent link (DOI): https://doi.org/10.7939/R3J67J

Download

Export to: EndNote  |  Zotero  |  Mendeley

Communities

This file is in the following communities:

Graduate Studies and Research, Faculty of

Collections

This file is in the following collections:

Theses and Dissertations

Foveation-Based Video Coding Open Access

Descriptions

Other title
Subject/Keyword
HEVC
Foveation
Multiple Scaling Factors
Perceptual coding
Video
Cut-off frequency
Human Visual System
CVR transformation
Fovea
Video coding
High efficiency video coding
HVS
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Mohammadkhani, Mahsa
Supervisor and department
Basu, Anup (Computing Science)
Cheng, Irene (Computing Science)
Examining committee member and department
Ray, Nilanjan (Computing Science)
Department
Department of Computing Science
Specialization

Date accepted
2014-06-25T08:58:58Z
Graduation date
2014-11
Degree
Master of Science
Degree level
Master's
Abstract
We designed independent perceptual video compression that can work with all the available video coding standards. We used fovea as the Human Visual System (HVS) properties in this thesis. In this thesis, first, we describe and compare two available foveation techniques used for images. After finding the pros and cons of the techniques, we improve one of the single-fovea techniques for video compression so that it preserves the quality of videos better compared to conventional video coding. Finally, we compare our technique with four foveation-based objective metrics for nine different video contents and different parameters, and in order to improve the evaluation assessment, we did two subjective tests to hear the users opinion about the video results.
Language
English
DOI
doi:10.7939/R3J67J
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication

File Details

Date Uploaded
Date Modified
2015-01-08T08:03:58.965+00:00
Audit Status
Audits have not yet been run on this file.
Characterization
File format: pdf (PDF/A)
Mime type: application/pdf
File size: 5537799
Last modified: 2015:10:12 12:45:34-06:00
Filename: Mohammadkhani_Mahsa_201406_MSc.pdf
Original checksum: 7a5a56108d68ebf78a9d4bb14fef035c
Activity of users you follow
User Activity Date