期刊文献+

新闻视频数据库基于故事单元的“多线程”管理技术研究 被引量:2

Organizing News Video Database Based on Stories with "MultiThreads"
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摘要 新闻视频关于新闻事件的报道是一种"多线程"的形式,针对这种特性提出了一种基于有向图理论的新闻视频数据库管理方法。研究了故事单元相似关系与图论知识之间的联系,结合最小部分树理论提出了一种将故事单元之间复杂相似关系图简化为"多线程"结构树的新闻视频数据库管理技术。实验显示,这种管理方法对于视频数据库的浏览、检索、摘要等实际需求具有重要的理论意义和应用价值。 In order to incarnate "multithreading" of news event reporting, the paper studies the validity of graph theory for managing news video database. Firstly, news stories similarity and graph theory are studied for digesting complicated relations of all stories reporting the same event. Then, a method based on minimal spanning tree is presented for predigesting the similarity graph into a simple tree with "multithreads". Experiments show that the method is a research issue with great theoretical and pratical significance for browsing, searching and abstracting in news video database.
出处 《国防科技大学学报》 EI CAS CSCD 北大核心 2010年第1期116-121,共6页 Journal of National University of Defense Technology
基金 国家自然科学基金资助项目(60802080) 国家863计划资助项目(2009AA01Z335)
关键词 新闻视频 数据库 多线程 故事单元 图论 news video database multithreads story graph theory
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参考文献13

  • 1Nallapati R, Feng A, Peng F, et al. Event Threading within News Topies[ C ]//Proceedings of the thirteenth ACM international conference on Information and Knowledge Management, Washington, USA,2004:446-453.
  • 2Ide I, Mo H, Katayama N, et al. Threading News Video Topics [ C ]//Proceedings of the 5^th ACM SIGMM International Workshop on Multimedia Information Retrieval (MIR2003), California, USA, 2/303 : 239 - 246.
  • 3Worring M, Snoek C, De Rooij O, et al. Mediamill: Advanced Browsing in News Video Archives[ C ]//International Conference on Image and Video Retrieval( CIVR 2006), Tempe, USA, 2006,533 - 536.
  • 4De Rooij O, Snoek C, Worring M. Query On Demand Video Browsing[C]//Proceedings of the 15tb International Conference on Multimedia(ACM MM2007) ,Augsburg, Germany,2007 : 811 - 814.
  • 5Tesic J, Natsev A, Seidl J, et al. IBM Multimodal Interactive Video "llareading [ C]//International Conference on Image and Video Retrieval (CIVR2007), Amsterdam, The Netherlands,2007:124 - 126.
  • 6Ide I, Mo H, Katayama N, et al. Topic Threading for Structuring a Large-scale News Video Archive[C]//Image and Video Retrieval: Third International Conference (CIVR2004), Dublin, Ireland,2004:123 - 131.
  • 7Katayama N, Mo H, Ide I ,et al. Mining Large-scale Broadcast Video Archives Towards Inter-video Structuring[ C]//Pacific Rim Conf. on Multimedia ( PCM2004), Tokyo, Japan, 2004: 489 - 496.
  • 8Ide I,Mo H, Katayama N,et al. Exploiting Topic Thread Structures in a News Video Archive for the Semi-automatic Generation of Video Summaries [ C]//2005 IEEE International Conference on Multimedia and Expo, (ICME2006), Toronto, Canada, 2006:1473- 1476.
  • 9Ide I, Noda K, Ogawa A, et al. Semantic Analysis of a Large-scale News Video Archive[ C]//Proceedings of Asia-Pacific Workshop on Visual Information Processing (VIP 2006), Beijing, China,2(X)6:166 - 171.
  • 10Ide I, Kinoshita T,Takahashi T. MediaWalker: A Video Archive Explorer Based on Time-series Semanfc Structure[C]//Proceedings of the 15^th International Conference on Multimedia(ACM MM2007), Augsburg, Germany,2007:162 - 163.

二级参考文献16

  • 1Ide I, Mo H, Katayama N, et al.Threading News Video Topics[C]//ACM Workshop on Multimedia Information Retrieval (MIR2003)USA, 2003: 239- 246.
  • 2Ide I, Mo H, Katayama N, et al. Exploiting Topic Thread Structures in a News Video Archive for the Semi-automatic Generation of Video Summaries [C]//2036 IEEE Intl. Conf. on Multimedia and Expo (ICME2006), Canada,2006: 1473- 1476.
  • 3Allan J, Wade C, Bolivar A. Retrieval and Novelty, Detection at the Sentence Level[ C]//Proceedings of the 26^th Annual lntemational ACM StGIR Conference on Research and Development in Information Retrieval (SIGIR 2003) Cananda, 2003:314-321.
  • 4Wu X, Ngo C W, Li Q. Threading and Autodocumenting News Videos: A Promising Solution to Rapidly Browse News Topics[J]. IEEE Signal Processing Magazine, 2006, 23(2) :59 - 68.
  • 5Zhang D Q, Chang S F. Detecting Image Near-duplicate by Stochastic Attributed Relational Graph Matching with Learning[C]//Proceedings of ACM Multimedia, 2004:877 - 884.
  • 6Chang S F, Hsa W, Kennedy L, et al. Columbia University Trecvid-2005 Video Search and High-level Feature Extraction [ C ]//Proceedings of Trecvid Workshop, 2005.
  • 7Chua T S, Neo S Y, Zheng Y T, et al.Trecvid-2006 by NUS-12R[C]//Proceedings of Trecvil Workshop, 2006.
  • 8Hsu W, Chang S F.Topic Tracking across Broadcast News Videos with Visual Duplicates and Semantic Concepts[C]//Proceedings of lntematlonal Conference on Image Processing, 2006, USA.
  • 9Zhai Y, Shah M.Tracking News Stories across Different Sources[C]//Proceedings of the 13^th Annual ACM International Conference on Multimedia (ACM MM2005)Singapore, 2005:2 - 10.
  • 10Cheung S C, Zakhor A. Efficient Video Similarity Measurement with Video Signature[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2003, 13(1):59-74.

共引文献5

同被引文献14

  • 1Allan J, Carbonell J. Topic Detection and Tracking Pilot Study: Final Report [ C ]//Proceedings of DRAPA Broadcast News Transcription and Understanding Workshop, San Francisco, CA, 1998: 194-218.
  • 2Nallapati R, Feng A, Peng F, et al. Event Threading within News Topic [ C ]//Proceedings of the 13th ACM international conference on Information and Knowledge Management, Washington, USA, 2004:446 -453.
  • 3Ide I, Mo H, Katayama N, et al. Threading News Video Topics [C]//Preceodings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, California, USA, 2003:239 -246.
  • 4Ide I, Mo H, Katayama N, et 81. Topic Threading for Structuring a Large-scale News Video Archive [ C ]//Image and Video Retrieval: Third International Conference, Dublin, Ireland, 2004:123 - 131.
  • 5Ketayama N, Mo H, Ide I ,et al. Mining Large-scale Broadcast Video Archives Towards Inter-video Structuring [ C ]//Pacific Rim Conf. Multimedia. Tokyo, Japan, 2004:489-496.
  • 6Ide I, Mo H, Katayama N, et al. Exploiting Topic Thread Structures in a News Video Archive for the Semi-automatic Generation of Video Summaries[ C ]//2006 IEEE InternationalConference on Multimedia and Expo, Toronto, Canada. 2006: 1473 - 1476.
  • 7Ide I, Kinoshite T, Takahashi T. MediaWalker: A Video Archive Explorer Based on Time-series Semantic Structure [ C ]//Proceeding of the 15th International Conference. Multimedia. Augsburg, Germany, 2007: 162-163.
  • 8Zhang D Q, Chang S F. Detecting Image Near-duplicate by Stochastic Attributed Relational Graph Matching with Learning [C]//Proc. ACM Multimedia Conf. 2004:877 -884.
  • 9Ke Y, Sukthankar R, Huston L Efficient near-duphcate Detection and Sub-image retrieval[C]//Proc. ACM Multimedia Conf. 2004: 869 -876.
  • 10Ngo C W, Zhao W L, Jiang Y G. Fast Tracking of Near- Duplicate Keyframes in Broadcast Domain with Transitivity Propagation [ C ]//Proc. ACM Conf. Multimedia, 2006 : 845 - 854.

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二级引证文献6

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