Gradient-based edge detection for motion estimation in H.264/AVC
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Paul, Anand | - |
dc.contributor.author | Wu, Jiaji | - |
dc.contributor.author | Yang, Jar-Ferr | - |
dc.contributor.author | Jeong, Jechang | - |
dc.date.accessioned | 2022-07-16T20:28:29Z | - |
dc.date.available | 2022-07-16T20:28:29Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2011-06 | - |
dc.identifier.issn | 1751-9659 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/168314 | - |
dc.description.abstract | This study introduces a block-based motion estimation algorithm based on projection with adaptive window-size selection. Using one-dimensional (1D) projection, the original 2D block-matching problem is translated to a simpler 1D matching problem which eliminates the majority of potential pixel participation. The authors propose an efficient fast-motion estimation method using an intensity gradient algorithm to reduce the encoding time. The proposed algorithm estimates the texture direction of the block, and then a horizontal or vertical projection is employed for the sum of absolute difference calculation. Experimental results show that the proposed algorithm achieves a greater than 60% time reduction with negligible peak signal to noise ratio (PSNR) loss and BR increments. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | INST ENGINEERING TECHNOLOGY-IET | - |
dc.title | Gradient-based edge detection for motion estimation in H.264/AVC | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jeong, Jechang | - |
dc.identifier.doi | 10.1049/iet-ipr.2009.0256 | - |
dc.identifier.scopusid | 2-s2.0-79959728308 | - |
dc.identifier.wosid | 000290902700005 | - |
dc.identifier.bibliographicCitation | IET IMAGE PROCESSING, v.5, no.4, pp.323 - 327 | - |
dc.relation.isPartOf | IET IMAGE PROCESSING | - |
dc.citation.title | IET IMAGE PROCESSING | - |
dc.citation.volume | 5 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 323 | - |
dc.citation.endPage | 327 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Imaging Science & Photographic Technology | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Imaging Science & Photographic Technology | - |
dc.subject.keywordPlus | VIDEO | - |
dc.subject.keywordPlus | ARCHITECTURE | - |
dc.identifier.url | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2009.0256 | - |
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