摘要
2D-to-3D video conversion is a feasible way to generate 3D programs for the current 3DTV industry. However, for large-scale 3D video production, current systems are no longer adequate in terms of the time and labor required for conversion. In this paper, we introduce a distributed 2D-to-3D video conversion system that includes a 2D-to-3D video conversion module, architecture of the parallel computation on the cloud, and 3D video coding in the system. The system enables cooperation among multiple users in the simultaneous completion of their conversion tasks so that the conversion efficiency is greatly promoted. In the experiments, we evaluate the system based on criteria related to both time consumption and video coding performance.
2D-to-3D video conversion is a feasible way to generate 3D programs for the current 3DTV industry. However, for large-scale 3D video production, current systems are no longer adequate in terms of the time and labor required for conversion. In this paper, we introduce a distributed 2D-to-3D video conversion system that includes a 2D-to-3D video conversion module, architecture of the parallel computation on the cloud, and 3D video coding in the system. The system enables cooperation among multiple users in the simultaneous completion of their conversion tasks so that the conversion efficiency is greatly promoted. In the experiments, we evaluate the system based on criteria related to both time consumption and video coding performance.
基金
supported by the National Key Basic Research Program of China (973 Program) under Grant No. 2009CB320904
the National Natural Science Foundation of China under Grants No. 61121002, No. 61231010, 91120004
the Key Projects in the National Science and Technology Pillar Program under Grant No. 2011BAH08B03
作者简介
ZHANG Zhebin, is currently a postdoctoral in School of Electronics Engineering and Computer Science, Peking University, China. He obtained his B.S. degree from the Department of Computer Science and Technology of Beijing University of Posts and Tele- communications, China in 2005, and his Ph.D. degree in computer sciences in the Institute of Computing Technology, Chinese Academy of Sciences, China in 2013. His research interests include computer vision, image and video process.ZHANG Ji＇an. is a graduate student in School of Electronics Engineering and Computer Science, Pe- king University, China.ZHANG Xuexi, is an undergraduate student in Sc- hool of Electronics Engineering and Computer Scie- nce, Peking University, China.WANG Yizhou, is a Professor of Computer Science Department at Peking University, Beijing, China. He is a Vice Director of Institute of Digital Media at Peking University. He received his Bachelor＇s degree in elec- trical engineering from Tsinghua University, China in 3.996, and his Ph.D. degree in computer science from University of California at Los Angeles （UCLA）, USA in 2005. His research interests include computer vision and digital visual arts.GAO Wen, received the Ph.D. degree in electronics engineering from the University of Tokyo, Japan in 1991. He is a Professor of computer science at Peking University, China. He served on the editorial board for several journals, such as the IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, IEEE Transactions on Autonomous Mental Development. He is a fellow of the IEEE and a CAE member.
