期刊文献+

场景过分割解决方法

Approach to reduce scene over-segmentation
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摘要 视频场景分割对于视频内容分析和检索有着重要意义,然而现有多数场景分割方法却有着“过分割”严重的通病。提出了一种解决场景过分割问题的有效方法,通过分析过分割现象出现的环境,利用电影语法理论,分析和建模了节奏这一整体信息,并用其来合并过分割的边界。实验结果表明了该方法的有效性。 An approach to reduce video scene over-segmentation is proposed. The circumstance of over- segmentation is analyzed. The integral information tempo is analyzed and modeled based on film grammar. The film tempo is used to integrate the boundary of over-segmentation. Experiments based on real-world movies verify the efficiency of the proposed method.
出处 《华北电力大学学报(自然科学版)》 CAS 北大核心 2006年第4期55-58,共4页 Journal of North China Electric Power University:Natural Science Edition
基金 华北电力大学博士学位教师科研基金项目
关键词 视频场景 过分割 节奏 video scene over-segmentation tempo
作者简介 程文刚(1977-),男,华北电力大学计算机科学与技术学院智能机器人研究所讲师.
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参考文献5

  • 1Adams B,Dorai C,Venkatesh S.Novel approach to determining tempo and dramatic story sections in motion pictures[A].In:Proc.of IEEE ICIP'00[C],Vancouver,Canada,2000 (2):283-286.
  • 2程文刚,柳长安,须德.武打片中的动作场景检测方法[J].电子学报,2006,34(5):915-920. 被引量:5
  • 3Zhang H J.Content-based video analysis,retrieval and browsing[DB/OL].Microsoft Research Asia.2002.http://research.microsoft.com/asia/download/disquisition/0202e.asp.
  • 4程文刚,须德,郎丛妍.一种有效的视频场景检测方法[J].中国图象图形学报(A辑),2004,9(8):984-990. 被引量:6
  • 5Sobchack T,Sobchack V.An introduction to film (2nd ed.)[M].Glenview,IL:Scot,Foresman and Company,1987.

二级参考文献26

  • 1Swanberg D, Shu C F, Jain R. Knowledge guided parsing in video databases [A]. In.. Proceedings of SPIE Storage and Retrieval for Image and Video Databases(1908)[C], San Jose,CA,USA,1993:13-21.
  • 2Boykin S, Merlino A. Machine learning of event segmentation for news on demand [J]. Communications of the ACM, 2000,43(2) : 35-41.
  • 3Lu Hong, Tan Yap-peng. An unsupervised approach to dominant video scene clustering[A]. In: Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS'03)[C], Bangkok, Thailand, 2003:680-683.
  • 4Yeung M M, Yeo B L, Liu B. Segmentation ozf video by clustering and graph analysis [J]. Computer Vision and Image Understanding, 1998,71(1):94-109.
  • 5Sundaram H, Chang S F. Determining computable scenes in films and their structures using audiovisual memory models[A].In: Proceedings of ACM Multimedia Conference [C ], Los Angels, CA, USA, 2000:95-104.
  • 6Chen S C, Shyu M L,I.iao W, et al..Scene change detection by audio and video clues[A]. In: Proceedings of IEEE International Conference on Multimedia and Expo (ICME2002) [C ],Lausanne, Switzerland, 2002 : 365 - 368.
  • 7Boreczky J S0 Wilcox L D. A hidden Markov model framework for video segmentation using audio and image features[A]. In:Proceedings of International Conference on Acoustics, Speech,and Signal Processing [C], Seattle, WA, USA, 1997:3741-3744.
  • 8Iyengar G, I.ippman A. Models (or automatic classification of video sequences [A]. In: Proceedings of SPIE Storage and Retrieval Sor Image and Video Databases VI (3312)[C], SanJose, CA, USA, 1998;3312-3334.
  • 9Rui Y, Thomas S. Huang, Sharad Mehrotra. Exploring video structure beyond the shots E A-. In: Proceedings ot IEEE International Conference on Multimedia Computing and Systems[C], Austin, Texas, USA, 1998,237-240.
  • 10Sanchez J M, Binefa X, Vitria J, et al. Linking visual caes and semantic terms under specific digital video domains [J ]. Journal of Visual Languages and Computing, 2000,11(3): 253-271.

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