期刊文献+

基于对象的视频摘要技术 被引量:3

Object-Based Video Synopsis Technology
下载PDF
导出
摘要 视频摘要技术是当前多媒体领域研究的热点之一。视频摘要生成方法归结为两类:基于关键帧的视频摘要和基于对象的视频摘要;对基于关键帧的视频摘要方法做了简要的介绍,并重点总结了历年来出现的基于对象的视频摘要的生成方法。最后对视频摘要技术的发展做出了总结和展望。 The video summarization technology is one of the hot spots in the field of multimedia research.This paper presents the generation method of video summarization and it can be divided into two classes: video summarization based on video key frame and video synopsis based on video object.Video summarization is briefly introduced and the method of the video synopsis is principally described.At last,the development trend and the application perspective of video summarization and synopsis are presented.
出处 《计算机系统应用》 2012年第1期204-207,共4页 Computer Systems & Applications
关键词 视频监控 视频摘要 关键帧 对象 video monitoring video synopsis key frame object
  • 相关文献

参考文献22

  • 1余卫宇,曹燕,谢胜利.视频摘要的现状和研究进展[J].计算机应用研究,2008,25(7):1948-1952. 被引量:5
  • 2欧阳建权,李锦涛,张勇东.视频摘要技术综述[J].计算机工程,2005,31(10):7-9. 被引量:17
  • 3Tonomura Y, Akutsu A, Otsu GK, et al. VideoMAP and video spaceicon: tools for automatizing video content. Proc. of ACM Interchi'93 Conference 1993:131-141.
  • 4Ueda H, Miyatake T, Izawa YS. M PACT:an interactive natural-motion-picture dedicated multimedia authoring system. Proc. ofACM Chi'91 Conference. 1991: 343-350.
  • 5Ruiy, Huang TS, Mehro TS. Exploring video structure beyond the shots. Proc. of IEEE Intemational Conference on Multimedia Computing and Systems Texas:1998:237-240.
  • 6Sum ZH, Fu E Combination of color and object outline based method in video segmentation. Proc. of SPIE Stroage RetrMethods ApplMultimed 2004:61-69.
  • 7Pentland A, Picard R, Davenport G, et al. Video arid image semantics: ladvanced tools for telecommunications. IEEE Multimedia, 1994,1(2):73-75.
  • 8Girgensohn A, Boreczky J. Time-constrained key frame selection technique. Proc. of ICMCS. 1999:756-761.
  • 9Narasmha R, Savakis A, Rao RM, et al. A neural network approach to key frame extraction. Proc. of SPIE IS&T Electronic Imaging Strorage and Retrieval Methods and Applications for Multimedia 2004:439-447.
  • 10Zhao L, Q1 W. Key'framo extraction and shot retrieval using nearest feature line. Pro~. ofACM Multimodia Workshopson Multimedia 2000:217-220.

二级参考文献48

  • 1欧阳建权,李锦涛,张勇东.视频摘要技术综述[J].计算机工程,2005,31(10):7-9. 被引量:17
  • 2刘桂清,李建成,肖鹏,王辰.基于“实体-描述-效用”模型的视频摘要技术[J].计算机工程与科学,2005,27(10):31-34. 被引量:2
  • 3朱志辉.基于视频摘要生成技术的研究[J].微电子学与计算机,2006,23(2):76-78. 被引量:4
  • 4曹建荣,蔡安妮.基于支持向量机的语义视频摘要[J].北京邮电大学学报,2006,29(4):94-98. 被引量:4
  • 5Nam J, Tewfik A H. Video abstract of video [ C ]//Proceedings of IEEE Third Workshop on Multimedia Signal Processing. Copenhagen : Technical University of Denmark, 1999 : 117-122.
  • 6Ma Y, Hua X, Lu L, et al. A generic framework of user attention model and its application in video summarization [ J ]. IEEE Transactions on Multimedia Journal, 2005, 7 (5) : 907-919.
  • 7Liu X, Mei T, Hua X, et al. Video collage[ C]//Proceedings of the 15th International Conference on Multimedia. Augsburg Germany: ACM, 2007 : 461-462.
  • 8Uchihashi S, Foote J, Girgensohn A, et al. Video Manga: Generating semantically meaningful video summaries [ C ]// Proceedings of ACM International Conference on Multimedia. Orlando Florida: ACM, 1999: 383-392.
  • 9Zhou J, Li B. Automatic generation of pencil-sketch like drawings from personal photos [ C ]//Proceedings of IEEE International Conference on Multimedia & Expo. Amsterdam: Institute of Electrical & Electronics Enginee, 2005: 1026-1029.
  • 10Wen F, Luan Q, Liang L, et al. Color sketch generation[C]// Proceedings of the 4th international Symposium on Non- Photorealistic Animation and Rendering. New York: Alphascript Publishing, 2006: 47-54.

共引文献27

同被引文献32

  • 1鲁敏,郁文贤,鲍虎军,匡纲要.基于机电跟踪的三维虚拟演播室系统[J].电子学报,2003,31(z1):2035-2039. 被引量:3
  • 2程文刚,须德,蒋轶玮,即丛妍.一种新的动态视频摘要生成方法[J].电子学报,2005,33(8):1461-1466. 被引量:6
  • 3Pritch Y,Rav-Acha A,Peleg S.Nonchronological video synopsis and indexing[J]. IEEE Trans,2008,PAMI-30(11):1971-1984.
  • 4Y N,C X,H S,et al.Compact video synopsis via global spatiotemporal optimization[J]. IEEE Trans,2013,TVCG-19(10):1664-1676.
  • 5SIMAKOV,D,CASPI,Y,SHECHTMAN,E,AND IRANI,M.Summarizing visual data using bidirectional similarity. Computer Vision and Pattern Recognition[C]. Alaska,USA:IEEE.2008.1-8.
  • 6Nie Y,Sun H,Li P,et al.Object movements synopsis via part assembling and stitching[J]. IEEE Trans,2014,TVCG-20(9):1303-1315.
  • 7Germann M,Popa T,Keiser R,et al.Novel-view synthesis of outdoor sport events using an adaptive view-dependent geometry[J]. Computer Graphics Forum,2012,31(21):325-333.
  • 8Saxena A,Sun M,Ng A Y.Make3D:learning 3D scene structure from a single still image[J]. IEEE Trans,2009,PAMI-31(5):824-840.
  • 9HARTLEY,R,ZISSERMAN,A.Multiple view geometry in computer vision[M]. Cambridge,UK:Cambridge University Press.2003:23-64.
  • 10Maki A,Watanabe M,Wiles C.Geotensity:Combining motion and lighting for 3d surface reconstruction[J]. International Journal of Computer Vision,2002,48(2):75-90.

引证文献3

二级引证文献6

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