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학술대회 Graph Theoretical Optimization of Prediction Structure in Multiview Video Coding
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저자
강제원, 조숙희, 허남호, 김창수, 이상욱
발행일
200709
출처
International Conference on Image Processing (ICIP) 2007, pp.VI429-VI432
DOI
https://dx.doi.org/10.1109/ICIP.2007.4379613
협약과제
07MR3300, 무안경 개인형 3D 방송기술개발, 안치득
초록
An algorithm to construct the optimal prediction structure in multiview video coding (MVC) is proposed in this work. We employ the graph theory as a framework. By considering each frame as a vertex and the motion compensation or disparity compensation as an edge, we represent a prediction structure as a spanning tree. Then, we obtain the optimal structure by finding the minimum spanning tree using the Prim's algorithm. Simulation results demonstrate that the proposed algorithm provides about 0.2-0.4 dB better PSNR performance than the conventional prediction structure, and about 1.5 dB better performance than the simulcast. © 2007 IEEE.
KSP 제안 키워드
Minimum spanning tree, Motion Compensation(MoCo), Multiview video coding(MVC), Optimal prediction, Optimal structure, Prim's Algorithm, disparity compensation, graph theory, simulation results