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基于对象跟踪的视频分割 被引量：1

Object Tracking Based Video Parsing
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摘要 Authors present a novel object tracking based video parsing algorithm for the first step to video analysis. Segment the frame of video clip to find the biggest block. After analyzing the mean color and area of the block’s, track it and generate the boundary information of the video shot’s. This algorithm could be used in real time video segmentation and shows a good performance in the experiment. Authors present a novel object tracking based video parsing algorithm for the first step to video analysis. Segment the frame of video clip to find the biggest block. After analyzing the mean color and area of the block's, track it and generate the boundary information of the video shot's. This algorithm could be used in real time video segmentation and shows a good performance in the experiment.
作者 张龙飞 曹元大 周艺华
机构地区 北京理工大学计算机科学工程系
出处 《四川大学学报（自然科学版）》 CAS CSCD 北大核心 2005年第2期420-423,共4页 Journal of Sichuan University(Natural Science Edition)
关键词 镜头 视频检索系统 摄像机 切换方式 跟踪方式 双阈值算法 彩色直方图分割法 video parsing shot bounder detection object tracking
分类号 TN919.81 [电子电信—通信与信息系统]
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参考文献7

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同被引文献8

  • 1Snoek C G M, Worring M. Multimodal video indexing: a review of the state-of-the-art [J]. Multimedia Tools and Applications, 2005, 25 (1) : 5 - 35.
  • 2Lin W H, Hauptmann. News video classification using svm-based multimodal classifiers and combination strategies[C]// ACM Multimedia 2002. Juan-les-Pins, France:ACM, 2002: 323-326.
  • 3Zhou W S, Vellaikal A, Kuo C J. Rule-based video classification system for basketball video indexing [C]//ACM Multimedia Workshops. [S. l.]: ACM, 2000: 213-216.
  • 4Ekin A, Tekalp A M. Automatic soccer video analysis and summarization[J ]. IEEE Transactions on Image Processing, 2003,12(7):796 - 807.
  • 5Yu X G, Tian Q, Kong W W. A novel ball detection framework for real soccer video [C]//ICME 2003 ( Ⅱ ).Baltimore, Washington DC: The Computer Society,2003: 265-268.
  • 6张龙飞 张明杰 曹元大.足球比赛视频的场地及运动员分割[C]..第一届全国内容安全与信息检索学术会议(NCIRCS-2004)[C].上海:复旦大学出版社,2004.286-292.
  • 7Itti L, Koch C. Computational modeling of visual attention[J]. Nature Reviews Neuroscience, 2001,2(3): 194-203.
  • 8Huang J C, Liu Z, Wang Y, et al. Integration of multimodal features for video scene classification based on HMM[C]//IEEE Signal Processing Society 1999 Workshop on Multimedia Signal Processing. Copenhagen, Denmark:The Computer Society, 1999:323-326.

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四川大学学报（自然科学版）
2005年 第2期

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