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인접 프레임의 CU 분할정보를 이용한 HEVC CU 크기의 고속 결정 방법
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 선우명훈 | - |
| dc.contributor.author | 정재헌 | - |
| dc.date.accessioned | 2018-11-08T08:05:58Z | - |
| dc.date.available | 2018-11-08T08:05:58Z | - |
| dc.date.issued | 2016-02 | - |
| dc.identifier.other | 21391 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/10467 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :전자공학과,2016. 2 | - |
| dc.description.tableofcontents | I. Introduction 1 II. Existing CU Size Decision Method 3 III. Proposed Fast CU Size Decision Method . 7 IV. Experimental Results 14 V. Conclusion . 20 Bibliography . 21 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | 인접 프레임의 CU 분할정보를 이용한 HEVC CU 크기의 고속 결정 방법 | - |
| dc.title.alternative | Fast CU Size Decision Method for HEVC Using CU Split Information of Adjacent Frame | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.alternativeName | Jae Heon Jeong | - |
| dc.contributor.department | 일반대학원 전자공학과 | - |
| dc.date.awarded | 2016. 2 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 739623 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000021391 | - |
| dc.subject.keyword | HEVC | - |
| dc.description.alternativeAbstract | High Efficiency Video Coding (HEVC) adopts a new technique, called quad-tree based coding. However, deciding the optimal size of CU, the basic unit of the quad-tree structure, is very time-consuming process. As a result, huge computational complexity of the CU size decision process makes it difficult to be used in resource-constrained environments. In this thesis, we propose a fast CU size decision algorithm for inter prediction. As frame rate goes higher today, texture information between adjacent frames is becoming similar. Thus, optimal CU depth level is highly correlated with the CU of the previous frame. Proposed algorithm skips some unnecessary depth by employing these correlations. Proposed algorithm shows a reasonable performance in terms of reducing the complexity of the CU size decision process and still maintaining comparable RD performance. Experimental results demonstrate that the proposed algorithm can save the total encoding time up to 40% while maintaining similar PSNR and RD performance compared to the HEVC reference model (HM). | - |
- Appears in Collections:
- Graduate School of Ajou University > Department of Electronic Engineering > 3. Theses(Master)
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