Application of Genetic Algorithm to Hexagon-Based Motion Estimation

With the improvement of science and technology, the development of the network, and the exploitation of the HDTV, the demands of audio and video become more and more important. Depending on the video coding technology would be the solution for achieving these requirements. Motion estimation, which r...

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Published inTheScientificWorld Vol. 2014; no. 2014; pp. 1 - 12
Main Authors Kung, Chih-Ming, Jeng, Jyh-Horng, Cheng, Wan-Shu
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2014
John Wiley & Sons, Inc
Wiley
Subjects
Online AccessGet full text
ISSN2356-6140
1537-744X
1537-744X
DOI10.1155/2014/689294

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Abstract With the improvement of science and technology, the development of the network, and the exploitation of the HDTV, the demands of audio and video become more and more important. Depending on the video coding technology would be the solution for achieving these requirements. Motion estimation, which removes the redundancy in video frames, plays an important role in the video coding. Therefore, many experts devote themselves to the issues. The existing fast algorithms rely on the assumption that the matching error decreases monotonically as the searched point moves closer to the global optimum. However, genetic algorithm is not fundamentally limited to this restriction. The character would help the proposed scheme to search the mean square error closer to the algorithm of full search than those fast algorithms. The aim of this paper is to propose a new technique which focuses on combing the hexagon-based search algorithm, which is faster than diamond search, and genetic algorithm. Experiments are performed to demonstrate the encoding speed and accuracy of hexagon-based search pattern method and proposed method.
AbstractList With the improvement of science and technology, the development of the network, and the exploitation of the HDTV, the demands of audio and video become more and more important. Depending on the video coding technology would be the solution for achieving these requirements. Motion estimation, which removes the redundancy in video frames, plays an important role in the video coding. Therefore, many experts devote themselves to the issues. The existing fast algorithms rely on the assumption that the matching error decreases monotonically as the searched point moves closer to the global optimum. However, genetic algorithm is not fundamentally limited to this restriction. The character would help the proposed scheme to search the mean square error closer to the algorithm of full search than those fast algorithms. The aim of this paper is to propose a new technique which focuses on combing the hexagon-based search algorithm, which is faster than diamond search, and genetic algorithm. Experiments are performed to demonstrate the encoding speed and accuracy of hexagon-based search pattern method and proposed method.
With the improvement of science and technology, the development of the network, and the exploitation of the HDTV, the demands of audio and video become more and more important. Depending on the video coding technology would be the solution for achieving these requirements. Motion estimation, which removes the redundancy in video frames, plays an important role in the video coding. Therefore, many experts devote themselves to the issues. The existing fast algorithms rely on the assumption that the matching error decreases monotonically as the searched point moves closer to the global optimum. However, genetic algorithm is not fundamentally limited to this restriction. The character would help the proposed scheme to search the mean square error closer to the algorithm of full search than those fast algorithms. The aim of this paper is to propose a new technique which focuses on combing the hexagon-based search algorithm, which is faster than diamond search, and genetic algorithm. Experiments are performed to demonstrate the encoding speed and accuracy of hexagon-based search pattern method and proposed method.With the improvement of science and technology, the development of the network, and the exploitation of the HDTV, the demands of audio and video become more and more important. Depending on the video coding technology would be the solution for achieving these requirements. Motion estimation, which removes the redundancy in video frames, plays an important role in the video coding. Therefore, many experts devote themselves to the issues. The existing fast algorithms rely on the assumption that the matching error decreases monotonically as the searched point moves closer to the global optimum. However, genetic algorithm is not fundamentally limited to this restriction. The character would help the proposed scheme to search the mean square error closer to the algorithm of full search than those fast algorithms. The aim of this paper is to propose a new technique which focuses on combing the hexagon-based search algorithm, which is faster than diamond search, and genetic algorithm. Experiments are performed to demonstrate the encoding speed and accuracy of hexagon-based search pattern method and proposed method.
Audience Academic
Author Cheng, Wan-Shu
Kung, Chih-Ming
Jeng, Jyh-Horng
AuthorAffiliation 2 Institute of Computer Science & Information Engineering, National Cheng Kung University, No. 1 University Road, Tainan City 70101, Taiwan
1 Department of Information Technology & Communication, Shih Chien University, No. 200 University Road, Neimen District, Kaohsiung City 84550, Taiwan
3 Department of Information Engineering, I-Shou University, No. 1 Section 1, Syuecheng Road, Dashu District, Kaohsiung City 84001, Taiwan
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– name: 3 Department of Information Engineering, I-Shou University, No. 1 Section 1, Syuecheng Road, Dashu District, Kaohsiung City 84001, Taiwan
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CitedBy_id crossref_primary_10_1049_iet_ipr_2018_5918
crossref_primary_10_1016_j_procs_2018_05_084
crossref_primary_10_3233_JIFS_190308
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ContentType Journal Article
Copyright Copyright © 2014 Chih-Ming Kung et al.
COPYRIGHT 2014 John Wiley & Sons, Inc.
Copyright © 2014 Chih-Ming Kung et al. Chih-Ming Kung et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright © 2014 Chih-Ming Kung et al. 2014
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– notice: COPYRIGHT 2014 John Wiley & Sons, Inc.
– notice: Copyright © 2014 Chih-Ming Kung et al. Chih-Ming Kung et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
– notice: Copyright © 2014 Chih-Ming Kung et al. 2014
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Chromosomes - genetics
Coding standards
Data Compression - methods
Genetic algorithms
Methods
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Motion
Motion capture
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Title Application of Genetic Algorithm to Hexagon-Based Motion Estimation
URI https://search.emarefa.net/detail/BIM-1050622
https://dx.doi.org/10.1155/2014/689294
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