HEVC CU 깊이 히스토리 기반 적응적 조기 종료 알고리즘

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dc.contributor.advisor선우명훈-
dc.contributor.author배종현-
dc.date.accessioned2018-11-08T08:10:55Z-
dc.date.available2018-11-08T08:10:55Z-
dc.date.issued2017-02-
dc.identifier.other24198-
dc.identifier.urihttps://dspace.ajou.ac.kr/handle/2018.oak/11277-
dc.description학위논문(석사)--아주대학교 일반대학원 :전자공학과,2017. 2-
dc.description.tableofcontentsAbstract List of Figures List of Tables List of Abbreviations I. Introduction 1 II. Related Works on Fast Encoding Algorithm 4 III. Proposed Adaptive CU Depth Decision 7 IV. Experimental Results 20 V. Conclusion 26 Bibliography 27-
dc.language.isoeng-
dc.publisherThe Graduate School, Ajou University-
dc.rights아주대학교 논문은 저작권에 의해 보호받습니다.-
dc.titleHEVC CU 깊이 히스토리 기반 적응적 조기 종료 알고리즘-
dc.title.alternativeJONGHYUN BAE-
dc.typeThesis-
dc.contributor.affiliation아주대학교 일반대학원-
dc.contributor.alternativeNameJONGHYUN BAE-
dc.contributor.department일반대학원 전자공학과-
dc.date.awarded2017. 2-
dc.description.degreeMaster-
dc.identifier.localId770236-
dc.identifier.urlhttp://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000024198-
dc.subject.keywordHEVC-
dc.subject.keywordfast encoding-
dc.subject.keywordvideo compression-
dc.description.alternativeAbstractThis thesis proposes an adaptive early termination algorithm using a coding unit (CU) depth history (AECH). The proposed algorithm uses the temporal correlation of colocated coding tree units (CTUs). AECH traces a CU depth history and calculates the mean and standard deviation of the history. Then, the target CU depth range is adaptively chosen, which is defined by the standard deviation from the mean. The proposed algorithm can skip the CU depths, which are out of range. Hence, it can significantly reduce the computational complexity. AECH shows time saving performances of 41.33% (low delay B) and 40.44% (low delay P) compared to the high efficiency video coding (HEVC) test model (HM) 12.0 version. In addition, the proposed algorithm increments Bjontegaard delta bitrate only about 1.09% (low delay B) and 1.22% (low delay P).-
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Graduate School of Ajou University > Department of Electronic Engineering > 3. Theses(Master)
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