• DocumentCode
    2610742
  • Title

    Video Scene Extraction Using Mosaic Technique

  • Author

    Chen, Liang-Hua ; Lai, Yu-Chun ; Liao, Hong-Yuan

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Fu Jen Univ., Taipei
  • Volume
    4
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    723
  • Lastpage
    726
  • Abstract
    Scene extraction is the first step toward semantic understanding of the video. This paper presents an effective approach to video scene extraction based on the analysis of background images. Our approach exploits the fact that shots belonging to one particular scene often have similar background. Although part of the video frame is covered by foreground objects, background scene still can be reconstructed by mosaic technique. The proposed scene extraction algorithm consists of two main components: the determination of shot similarity measure and shot grouping process. In our approach, several low-level visual features are integrated to compute the similarity measure between two shots. On the other hand, high-level knowledge in cinematography is used to guide the shot grouping process. Experimental results show that our approach is promising and outperforms some existing technique
  • Keywords
    cinematography; feature extraction; image reconstruction; image segmentation; video signal processing; background image analysis; background scene reconstruction; cinematography; foreground objects; low-level visual features; mosaic technique; shot grouping; shot similarity measure; video frame; video scene extraction; video semantic understanding; Cameras; Cinematography; Computer science; Data mining; Gunshot detection systems; Image analysis; Image reconstruction; Layout; Video compression; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.1173
  • Filename
    1699943