Multi-Modality Video Scene Segmentation Algorithm with Shot Force Competition

被引:0
作者
Xiang, Yun-zhu [1 ]
机构
[1] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan 430023, Peoples R China
来源
APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY | 2014年 / 513-517卷
关键词
scene segmentation; multi-modality; force competition; temporal associated cooccurrence;
D O I
10.4028/www.scientific.net/AMM.513-517.514
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In order to quickly and effectively segment the video scene, a multi-modality video scene segmentation algorithm with shot force competition is proposed in this paper. This method is take full account of temporal associated co-occurrence of multimodal media data, to calculate the similarity between video shot by merging the video low-level features, then go to the video scene segmentation based on the judgment method of shot competition. The authors' experiments show that the video scene can be efficiently separated by the method proposed in the paper.
引用
收藏
页码:514 / 517
页数:4
相关论文
共 6 条
  • [1] Fu Changjian, 2008, VIDEO DATA STRUCTURE, P56
  • [2] Liu YN, 2007, LECT NOTES COMPUT SC, V4351, P527
  • [3] Detection and representation of scenes in videos
    Rasheed, Z
    Shah, M
    [J]. IEEE TRANSACTIONS ON MULTIMEDIA, 2005, 7 (06) : 1097 - 1105
  • [4] Smoliar S. W., 1994, IEEE Multimedia, V1, P62, DOI 10.1109/93.311653
  • [5] Tensor-Based Transductive Learning for Multimodality Video Semantic Concept Detection
    Wu, Fei
    Liu, Yanan
    Zhuang, Yueting
    [J]. IEEE TRANSACTIONS ON MULTIMEDIA, 2009, 11 (05) : 868 - 878
  • [6] XiDian University, 2011, INT ACAD DYNAMIC, V2, P33