Cited 2 time in
A SLOPE INFORMATION BASED FAST MASK GENERATION TECHNIQUE FOR ROI CODING IN JPEG2000
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Seo, Yeong-Geon | - |
| dc.contributor.author | Kang, Ki-Jun | - |
| dc.date.accessioned | 2022-12-27T04:10:35Z | - |
| dc.date.available | 2022-12-27T04:10:35Z | - |
| dc.date.issued | 2010-06 | - |
| dc.identifier.issn | 1349-4198 | - |
| dc.identifier.issn | 1349-418X | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/25088 | - |
| dc.description.abstract | To support dynamic Region-of-Interest (ROI) in JPEG2000, a fast ROI mask generation is needed. In the existing methods of ROI coding, after scanning all the pixels in order and distinguishing ROI, an ROI mask has been generated. Our method scans 4 pixels of the corners in one code block, and then based on the information, scans the edges from the corners to get the boundaries of ROI and background. This information is consisted of distributed information of ROI and two coordinates of the pixels, winch are the points the edges and the boundaries meet. This information is transmitted to encoder and supported for fast ROI mask generation. There were no great differences between. the proposed method and the existing methods in quality, but the proposed method showed superiority in speed. | - |
| dc.format.extent | 10 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | ICIC INTERNATIONAL | - |
| dc.title | A SLOPE INFORMATION BASED FAST MASK GENERATION TECHNIQUE FOR ROI CODING IN JPEG2000 | - |
| dc.type | Article | - |
| dc.publisher.location | 일본 | - |
| dc.identifier.scopusid | 2-s2.0-80052549869 | - |
| dc.identifier.wosid | 000278688700034 | - |
| dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, v.6, no.6, pp 2817 - 2826 | - |
| dc.citation.title | INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | - |
| dc.citation.volume | 6 | - |
| dc.citation.number | 6 | - |
| dc.citation.startPage | 2817 | - |
| dc.citation.endPage | 2826 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
| dc.subject.keywordPlus | IMAGE | - |
| dc.subject.keywordPlus | REGION | - |
| dc.subject.keywordAuthor | JPEG2000 | - |
| dc.subject.keywordAuthor | Maxshift | - |
| dc.subject.keywordAuthor | ROI mask | - |
| dc.subject.keywordAuthor | ROI | - |
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