Cited 0 time in
Complexity reduction algorithm for intra mode selection in H.264/AVC video coding
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Jongho | - |
| dc.contributor.author | Kim, Donghyung | - |
| dc.contributor.author | Jeong, Jechang | - |
| dc.date.accessioned | 2022-12-21T10:39:05Z | - |
| dc.date.available | 2022-12-21T10:39:05Z | - |
| dc.date.issued | 2006-09 | - |
| dc.identifier.issn | 0302-9743 | - |
| dc.identifier.issn | 1611-3349 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/181086 | - |
| dc.description.abstract | The emerging H.264/AVC video coding standard improves coding performance significantly by adopting many advanced techniques. This is achieved at the expense of great increase of encoder complexity. Specifically, the intra prediction using RDO examines all possible combinations of coding modes, which depend on spatial directional correlation with adjacent blocks. There are 9 modes for a 4x4 luma block, and 4 modes for a 16x16 luma block and an 8x8 chroma block, respectively. Therefore the number of mode combinations for each MB is 592. This paper proposes a complexity reduction algorithm using simple directional masks and neighboring modes. The proposed method reduces the number of mode combinations into 132 at the most. Simulation results show the proposed method reduces the encoding time up to 70% with negligible loss of PSNR and bit-rate increase compared with the H.264/AVC exhaustive search. | - |
| dc.format.extent | 12 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Springer Verlag | - |
| dc.title | Complexity reduction algorithm for intra mode selection in H.264/AVC video coding | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.scopusid | 2-s2.0-33750252835 | - |
| dc.identifier.wosid | 000241489100041 | - |
| dc.identifier.bibliographicCitation | Lecture Notes in Computer Science, v.4179, pp 454 - 465 | - |
| dc.citation.title | Lecture Notes in Computer Science | - |
| dc.citation.volume | 4179 | - |
| dc.citation.startPage | 454 | - |
| dc.citation.endPage | 465 | - |
| dc.type.docType | Article; Proceedings Paper | - |
| 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.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
| dc.subject.keywordAuthor | intra mode selection | - |
| dc.subject.keywordAuthor | intra prediction | - |
| dc.subject.keywordAuthor | H.264/AVC | - |
| dc.subject.keywordAuthor | RDO | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
