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dc.contributor.author강제원*
dc.date.accessioned2017-11-01T05:01:22Z-
dc.date.available2017-11-01T05:01:22Z-
dc.date.issued2017*
dc.identifier.issn0923-6082*
dc.identifier.otherOAK-18983*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/238931-
dc.description.abstractToday’s video coding standard such as high efficiency video coding uses a full quad-tree structured block partitioning, so the underlying statistics of transformed coefficients becomes more complicated to estimate than the previous standards due to the coding structure. However, a statistical distribution of transformed residue is important for a design of a smart encoder. Thus, in this paper, we present a theoretic analysis of a distribution of transformed coefficients produced from an encoder using different transform sizes, and derive a probability density function (pdf) for the estimation. The proposed density model provides a more accurate distribution model than the conventional pdfs. Parameters are theoretically estimated, and rate-distortion model is established from the proposed pdf. We also apply the proposed method to a rate control problem to show the efficiency of the proposed density model. Our experimental results show that the proposed method is better capable of modeling the mixed sources of multiple-type transform coefficients occurred from the quad-tree coding structure of transform and provides an accurate estimate in rate control. © 2016, Springer Science+Business Media New York.*
dc.languageEnglish*
dc.publisherSpringer New York LLC*
dc.subjectDCT coefficient distribution*
dc.subjectHEVC*
dc.subjectParameter estimation*
dc.subjectQuad-tree structure*
dc.subjectR-D model*
dc.subjectRate control*
dc.titleNovel distribution model of transformed coefficients in video coding using quad-tree structured block partitioning*
dc.typeArticle*
dc.relation.issue4*
dc.relation.volume28*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage1589*
dc.relation.lastpage1609*
dc.relation.journaltitleMultidimensional Systems and Signal Processing*
dc.identifier.doi10.1007/s11045-016-0438-8*
dc.identifier.wosidWOS:000408647400023*
dc.identifier.scopusid2-s2.0-84976505480*
dc.author.googleKang J.-W.*
dc.contributor.scopusid강제원(56367466400)*
dc.date.modifydate20240322125621*
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공과대학 > 전자전기공학전공 > Journal papers
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