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...
| Published in: | Scientific World Journal pp. 689294 - 689295 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Published: |
Wiley-Blackwell
2014
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104037453&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104037453 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 2014 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104037453 NLM24592178 2012496136 10.1155/2014/689294 NLM24592178 PMC3925528 104037453 ppf: 689294 ppct: 1 formats: tig: atl: Application of genetic algorithm to hexagon-based motion estimation. aug: au: Kung, Chih-Ming Cheng, Wan-Shu Jeng, Jyh-Horng affil: Department of Information Technology & Communication, Shih Chien University, No. 200 University Road, Neimen District, Kaohsiung City 84550, Taiwan. sug: subj: Algorithms Chromosomes Models, Biological Motion Image Processing, Computer Assisted Methods ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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