Improved UMHexagonS algorithm and architecture for low power H.264 video compression

Video has been part of our daily life either for entertainment, work, or communication. The video can be used in form of television, movies, streaming video, video call or even for personal recording. The process of recording and transferring the video data requires a lot of resources such as comput...

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Main Author:	Arief Affendi, Juri
Format:	Thesis
Language:	English
Subjects:	Video compression Video encoding Motion estimation (ME) Fast search algorithms Video data transferring
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31928/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31928/2/Full%20text.pdf
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spelling	my-unimap-319282014-02-14T02:26:13Z Improved UMHexagonS algorithm and architecture for low power H.264 video compression Arief Affendi, Juri Video has been part of our daily life either for entertainment, work, or communication. The video can be used in form of television, movies, streaming video, video call or even for personal recording. The process of recording and transferring the video data requires a lot of resources such as computational time, storage space and bandwidth (bit rate). This process has become more complex since the demand for better quality and faster video encoding is increasing. The latest video compression standard, H.264, is able to meet this demand but at the cost of increasing computational complexity. This in turn increases the energy consumption of this video compression standard. Motion estimation (ME) is the module that consumes the most of encoding time and computational complexity in video compression. To overcome the increase in computational complexity of ME, H.264 reference software has implemented fast search algorithm known as Unsymmetrical Multi Hexagon-grid Search (UMHexagonS) as the main motion estimation engine. This thesis proposes several improvements for the UMHexagonS in term of algorithms and architectures. The proposed algorithms reduce the computational complexity of the UMHexagonS by reducing the number of search candidate up to 58.54% compared to the conventional UMHexagonS algorithm. It is able to reduce the motion estimation encoding time (MET) up to 28.66% when simulated using H.264 reference software. In addition, the proposed UMHexagonS architectures implement the proposed algorithms efficiently. The proposed architecture is able to reduce the clock cycle up to 87.80% with total energy saving up to 78.79% as compared to the conventional UMHexagonS architecture. Universiti Malaysia Perlis (UniMAP) 2013 Thesis en http://dspace.unimap.edu.my:80/dspace/handle/123456789/31928 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31928/1/Page%201-24.pdf 2555b49f5d652153c0213b413d960260 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31928/2/Full%20text.pdf bd2cbf0c03bf7c1d714b1696afba735a http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31928/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 Video compression Video encoding Motion estimation (ME) Fast search algorithms Video data transferring School of Microelectronic Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
topic	Video compression Video encoding Motion estimation (ME) Fast search algorithms Video data transferring
spellingShingle	Video compression Video encoding Motion estimation (ME) Fast search algorithms Video data transferring Arief Affendi, Juri Improved UMHexagonS algorithm and architecture for low power H.264 video compression
description	Video has been part of our daily life either for entertainment, work, or communication. The video can be used in form of television, movies, streaming video, video call or even for personal recording. The process of recording and transferring the video data requires a lot of resources such as computational time, storage space and bandwidth (bit rate). This process has become more complex since the demand for better quality and faster video encoding is increasing. The latest video compression standard, H.264, is able to meet this demand but at the cost of increasing computational complexity. This in turn increases the energy consumption of this video compression standard. Motion estimation (ME) is the module that consumes the most of encoding time and computational complexity in video compression. To overcome the increase in computational complexity of ME, H.264 reference software has implemented fast search algorithm known as Unsymmetrical Multi Hexagon-grid Search (UMHexagonS) as the main motion estimation engine. This thesis proposes several improvements for the UMHexagonS in term of algorithms and architectures. The proposed algorithms reduce the computational complexity of the UMHexagonS by reducing the number of search candidate up to 58.54% compared to the conventional UMHexagonS algorithm. It is able to reduce the motion estimation encoding time (MET) up to 28.66% when simulated using H.264 reference software. In addition, the proposed UMHexagonS architectures implement the proposed algorithms efficiently. The proposed architecture is able to reduce the clock cycle up to 87.80% with total energy saving up to 78.79% as compared to the conventional UMHexagonS architecture.
format	Thesis
author	Arief Affendi, Juri
author_facet	Arief Affendi, Juri
author_sort	Arief Affendi, Juri
title	Improved UMHexagonS algorithm and architecture for low power H.264 video compression
title_short	Improved UMHexagonS algorithm and architecture for low power H.264 video compression
title_full	Improved UMHexagonS algorithm and architecture for low power H.264 video compression
title_fullStr	Improved UMHexagonS algorithm and architecture for low power H.264 video compression
title_full_unstemmed	Improved UMHexagonS algorithm and architecture for low power H.264 video compression
title_sort	improved umhexagons algorithm and architecture for low power h.264 video compression
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Microelectronic Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31928/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31928/2/Full%20text.pdf
_version_	1747836778059923456

Improved UMHexagonS algorithm and architecture for low power H.264 video compression

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