Alogorithms for fast implementation of high efficiency video coding

Recently, there is higher demand for video content in multimedia communication, which leads to increased requirements for storage and bandwidth posed to internet service providers. Due to this, it became necessary for the telecommunication standardization sector of the International Telecommunicatio...

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Main Author: Jaja, Edward Tamunoiyowuna
Format: Thesis
Language:English
Published: 2017
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Online Access:http://eprints.utm.my/id/eprint/84023/2/EdwardTamunoiyowunaJajaPFKE2017.pdf
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spelling my-utm-ep.840232019-11-05T04:35:41Z Alogorithms for fast implementation of high efficiency video coding 2017-01 Jaja, Edward Tamunoiyowuna TK Electrical engineering. Electronics Nuclear engineering Recently, there is higher demand for video content in multimedia communication, which leads to increased requirements for storage and bandwidth posed to internet service providers. Due to this, it became necessary for the telecommunication standardization sector of the International Telecommunication Union (ITU-T) to launch a new video compression standard that would address the twin challenges of lowering both digital file sizes in storage media and transmission bandwidths in networks. The High Efficiency Video Compression (HEVC) also known as H.265 standard was launched in November 2013 to address these challenges. This new standard was able to cut down, by 50%, on existing media file sizes and bandwidths but its computational complexity leads to about 400% delay in HEVC video encoding. This study proposes a solution to the above problem based on three key areas of the HEVC. Firstly, two fast motion estimation algorithms are proposed based on triangle and pentagon structures to implement motion estimation and compensation in a shorter time. Secondly, an enhanced and optimized inter-prediction mode selection is proposed. Thirdly, an enhanced intra-prediction mode scheme with reduced latency is suggested. Based on the test model of the HEVC reference software, each individual algorithm manages to reduce the encoding time across all video classes by an average of 20-30%, with a best reduction of 70%, at a negligible loss in coding efficiency and video quality degradation. In practice, these algorithms would be able to enhance the performance of the HEVC compression standard, and enable higher resolution and higher frame rate video encoding as compared to the stateof- the-art technique. 2017-01 Thesis http://eprints.utm.my/id/eprint/84023/ http://eprints.utm.my/id/eprint/84023/2/EdwardTamunoiyowunaJajaPFKE2017.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:126086 phd doctoral Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Jaja, Edward Tamunoiyowuna
Alogorithms for fast implementation of high efficiency video coding
description Recently, there is higher demand for video content in multimedia communication, which leads to increased requirements for storage and bandwidth posed to internet service providers. Due to this, it became necessary for the telecommunication standardization sector of the International Telecommunication Union (ITU-T) to launch a new video compression standard that would address the twin challenges of lowering both digital file sizes in storage media and transmission bandwidths in networks. The High Efficiency Video Compression (HEVC) also known as H.265 standard was launched in November 2013 to address these challenges. This new standard was able to cut down, by 50%, on existing media file sizes and bandwidths but its computational complexity leads to about 400% delay in HEVC video encoding. This study proposes a solution to the above problem based on three key areas of the HEVC. Firstly, two fast motion estimation algorithms are proposed based on triangle and pentagon structures to implement motion estimation and compensation in a shorter time. Secondly, an enhanced and optimized inter-prediction mode selection is proposed. Thirdly, an enhanced intra-prediction mode scheme with reduced latency is suggested. Based on the test model of the HEVC reference software, each individual algorithm manages to reduce the encoding time across all video classes by an average of 20-30%, with a best reduction of 70%, at a negligible loss in coding efficiency and video quality degradation. In practice, these algorithms would be able to enhance the performance of the HEVC compression standard, and enable higher resolution and higher frame rate video encoding as compared to the stateof- the-art technique.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Jaja, Edward Tamunoiyowuna
author_facet Jaja, Edward Tamunoiyowuna
author_sort Jaja, Edward Tamunoiyowuna
title Alogorithms for fast implementation of high efficiency video coding
title_short Alogorithms for fast implementation of high efficiency video coding
title_full Alogorithms for fast implementation of high efficiency video coding
title_fullStr Alogorithms for fast implementation of high efficiency video coding
title_full_unstemmed Alogorithms for fast implementation of high efficiency video coding
title_sort alogorithms for fast implementation of high efficiency video coding
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2017
url http://eprints.utm.my/id/eprint/84023/2/EdwardTamunoiyowunaJajaPFKE2017.pdf
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