Probability density estimation based on the parzen window for fast Cu size decision of HEVC intra coding
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, D. | - |
dc.contributor.author | Lee, J. | - |
dc.contributor.author | Jeong, Je chang | - |
dc.date.accessioned | 2021-07-30T05:31:45Z | - |
dc.date.available | 2021-07-30T05:31:45Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/5324 | - |
dc.description.abstract | The critical problem with the practical implementation of the high efficiency video coding (HEVC) encoder is the computational complexity. Complexity increases because of its novel techniques, such as quad-tree-based block partitioning. Thus, for years, researchers have used various methods and studied multiple algorithms to reduce the computing time of the HEVC encoder. However, a fast algorithm using the Parzen window has not yet been investigated. The Parzen window is a non-parametric method that estimates probability density using statistical samples and information. The proposed method is utilized to predetermine the size of a coding unit and statistical data for the Parzen window is updated periodically. Experimental results show that the proposed algorithm reduces encoding time by 51.96 % with a small Bjøntegaard-Delta bit-rate increase of 0.56 %. © Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | International Workshop on Computer Science and Engineering (WCSE) | - |
dc.title | Probability density estimation based on the parzen window for fast Cu size decision of HEVC intra coding | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jeong, Je chang | - |
dc.identifier.scopusid | 2-s2.0-85054586534 | - |
dc.identifier.bibliographicCitation | Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, WCSE 2018, pp.691 - 696 | - |
dc.relation.isPartOf | Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, WCSE 2018 | - |
dc.citation.title | Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, WCSE 2018 | - |
dc.citation.startPage | 691 | - |
dc.citation.endPage | 696 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Codes (symbols) | - |
dc.subject.keywordPlus | Copper | - |
dc.subject.keywordPlus | Probability density function | - |
dc.subject.keywordPlus | Signal encoding | - |
dc.subject.keywordPlus | Fast coding | - |
dc.subject.keywordPlus | HEVC | - |
dc.subject.keywordPlus | High Efficiency Video Coding (HEVC) | - |
dc.subject.keywordPlus | Intra coding | - |
dc.subject.keywordPlus | Nonparametric methods | - |
dc.subject.keywordPlus | Parzen windows | - |
dc.subject.keywordPlus | Probability densities | - |
dc.subject.keywordPlus | Probability density estimation | - |
dc.subject.keywordPlus | Video signal processing | - |
dc.subject.keywordAuthor | Fast coding unit size decision | - |
dc.subject.keywordAuthor | HEVC | - |
dc.subject.keywordAuthor | Intra coding | - |
dc.subject.keywordAuthor | Parzen window | - |
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