인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 대한전자공학회 ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications ITC-CSCC : 2007
- 발행연도
- 2007.7
- 수록면
- 1,240 - 1,243 (4page)
이용수
초록· 키워드
With a wide range of viewing angles, the multi-view video can provide more realistic feeling at arbitrary viewpoints. However, because of a huge amount of data from multiple cameras, we need to develop an efficient coding method. One of the promising approaches for multi-view video coding is view synthesis prediction which generates an additional reference frame. In this paper, we explain the principal idea of view synthesis prediction and propose a view interpolation and coding scheme. For view interpolation, we employ initial disparity estimation, variable block matching, and disparity error correction methods. After generating an intermediate view image, we apply a ‘VIP Ppicture’ coding method with the additional reference frame, where we have five additional motion estimation modes and a modified motion vector prediction scheme. By computer simulations, we have improved the coding gain by 0.66 ㏈ on average for the well synthesized sequences.
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목차
- Abstract
- 1. Introduction
- 2. View Synthesis for Multi-view Video Coding
- 3. Depth Estimation for View Synthesis
- 4. Proposed View Interpolation Scheme
- 5. ‘VIP P-picture’ Coding
- 6. Experimental Results
- 7. Conclusion
- Acknowledgements
- References
참고문헌
참고문헌 신청최근 본 자료
UCI(KEPA) : I410-ECN-0101-2012-569-004319676
