期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

A Distributed 2D-to-3D Video Conversion System 被引量：1

分布式2D视频到3D视频转换系统(英文)
下载PDF
导出
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.
作者 张哲斌 张吉安 张学西 王亦洲 高文
机构地区 Key Laboratory of Intelligent Information Processing National Engineering Laboratory for Video Technology University of Chinese Academy of Sciences
出处 《China Communications》 SCIE CSCD 2013年第5期30-38,共9页 中国通信（英文版）
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
关键词 3D video 2D-to-3D conversion distributed system 转换系统 视频转换 分布式 3D 2D 视频编码系统 时间消耗 视频制作
分类号 TN919.8 [电子电信—通信与信息系统]
  • 相关文献

参考文献15

  • 1GUTTMANN M, WOLF L, COHEN-OR D. Semi- Automatic Stereo Extraction from Video Foo- tage[C]// Proceedings of IEEE 12th Interna- tional Conference on Computer Vision (ICCV): September 29-October 2, 2009. Kyoto, Japan, 2009: 136-142.
  • 2UAO Miao, GAO Jizhou, YANG Ruigang, et al Video Stereolization: Combining Motion Ana- lysis with User Interaction[J]. IEEE Transactions on Visualization and Computer Graphics 0-VCG), 2012, 18(7): 1079-1088.
  • 3ZHANG Zhebin, ZHOU Chen, XIN Bo, et al. An Interactive System of Stereoscopic Video Con- version[C]//Proceedings of the 20th Associa- tion for Computing Machinery (ACM) inter- national Conference on Multimedia: October 29-Noverber 2, 2012. Nara, Japan, 2012: 149- 158.
  • 4ZHANG Zhebin, WANG Yizhou, JIANG Ting-ting, et al. Visual Pertinent 2D-to-3D Video Conversion by Multi-cue Fusion[C]//Proceedings of the 18th IEEE International Conference on Image Processing (ICIP): September 11-14, 2011. Brussels, Belgium, 2011: 909-912.
  • 5CAO X, JI X, LI Z, et eL Transfantasy[EB/OL]. http://media.au.tsinghua.edu.cn/2 Dto3 D.jsp.
  • 6ZHANG Zhebin, WANG Yizhou, JIANG Ting- ting, et al. Stereoscopic Learning for Disparity Estimation[C]// Proceedings of IEEE Interna- tional Symposium on Circuits and Systems (ISCAS): May 15-18, 2011. Rio de Janeiro, Bra- zil. 2011: 365-368.
  • 7Dynamic-Digital-Depth. TriDef3D[EB/OL]. http:// www.tridef.com.
  • 8LI Zheng, XIE Xudong, LIU Xiaodong. An Effi- cient 2D to 3D Video Conversion Method Based on Skeleton Line Tracking[C]// Pro- ceedings of IEEE 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video: May 4-6, 2009. Potsdam, Germany, 2009: 1-4.
  • 9WU Chengli, ER Guihua, XIE Xudong, et al. A Novel Method for Semi-Automatic 2D to 3D Video Conversion[C]// Proceedings of IEEE 3DTV Conference: The True Vision -- Capture, Transmission and Display of 3D Video: May 28-30, 2009. Istanbul, Turkey, 2008: 65-68.
  • 10CHEN Jiawen, PARIS S, WANG Jue, et al. The Video Mesh: A Data Structure for Image- Based Three-Dimensional Video Editing[C]// Proceedings of IEEE International Conference on Computational Photograph (ICCP): April 8-10, 2011. Pittsburgh, PA, USA, 2011: 1-8.

同被引文献14

  • 1Zhang L, Tam W J. Stereoscopic image generation based on depth images for 3D TV [J]. IEEE Transac- tions on Broadcasting, 2005, 51(2) : 191 -199.
  • 2Mo Y, Liu T, Zhu X, et al. Segment based depth ex- traction approach for monocular image with linear per- spective [ C ]//4th International Conference on Intelli- gence Science and Big Data Engineering (ISclDE). Beiiing, China, 2013 : 168 - 175.
  • 3Nawrot E, Nawrot M. The role of eye movements in depth from motion parallax during infancy[J]. Journal of Vision, 2013, 13(14) : 1 - 13.
  • 4Saxena A, Sun M, Ng A Y. Make3D: learning 3D scene structure from a single still image [J]. IEEE Transactions on Pattern Analysis and Machine InteUi- gence, 2009, 31(5 ) : 824 - 840.
  • 5Karsch K, Liu C, Kang S B. Depth transfer: depth ex- traction from video using non-parametric sampling [J]. IEEE Transactions on Pattern Analysis and Machine In- telligence, 2014, 11(36): 2144-2158.
  • 6Liu C, Yuen J, Torralba A. SIFT flow: dense corre-spondence across scenes and its applications [ J ]. IEEE Transactions on Pattern Analysis and Machine Intelli- gence, 2011,33 (5) : 978 - 994.
  • 7von Gioi R G, Jakubowicz J, Morel J M, et al. LSD. a fast line segment detector with a false detection control [ J]. IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 2010, 32(4): 722-732.
  • 8Priese L, Schmitt F, Hering N. Grouping of semanti- cally similar image positions [ C]//14th Scandinavian Conference on Image Analysis. Oslo, Norway, 2009: 726 - 734.
  • 9Xue W, Xing D, Lin M, et al. Depth-of-field render- ing with saliency-based bilateral filtering [ C ]//2013 International Conference on Computer-Aided Design and Computer Graphics. Guangzhou, 2013: 399- 400.
  • 10Tamgade S N, Bora V R. Motion vector estimation of video image by pyramidal implementation of Lucas Ka- nude optical flow [ C ]//2nd IEEE International Con- ference on Emerging Trends in Engineering and Tech- nology. Nagpur, India, 2009:914-917.

引证文献1

二级引证文献1

China Communications
2013年 第5期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部