• DocumentCode
    3151474
  • Title

    VideoMAP: a generic framework for video management and application processing

  • Author

    Lau, Rynson W.H. ; Li, Qing ; Si, Antonio

  • Author_Institution
    Dept. of Comput. Sci., City Univ. of Hong Kong, Hong Kong
  • fYear
    2000
  • fDate
    4-7 Jan. 2000
  • Abstract
    To support video applications efficiently, video objects must be modeled and structured in secondary storage effectively, allowing flexible, easy, and efficient retrieval as well as support for dynamic video application development. The authors describe a video management framework called VideoMAP (Video Management and Application Processing). The VideoMAP framework provides three components: the Segmentation and Clustering Component (SCC), the Semantic Modeling Component (SMC) and the Query Processing Component (QPC). SCC structures video objects through video partitioning, keyframe selection and segment clustering. SMC organizes video segments/clusters into semantically meaningful hierarchies with annotated feature indices. QPC provides flexible query specification and processing, and supports external video application development. The framework employs a layered architecture, providing a flexibility and extensibility for each component to incorporate different schemes for different kinds of video objects. A prototype of VideoMAP is currently being constructed using an object oriented database toolkit on a PC platform.
  • Keywords
    object-oriented databases; query processing; video databases; video signal processing; PC platform; QPC; Query Processing Component; SCC; SMC; Segmentation and Clustering Component; Semantic Modeling Component; Video Management and Application Processing; VideoMAP; annotated feature indices; dynamic video application development; efficient retrieval; external video application development; flexible query specification; generic framework; keyframe selection; layered architecture; object oriented database toolkit; organizes video segments/clusters; secondary storage; segment clustering; semantically meaningful hierarchies; video application processing; video management; video management framework; video objects; video partitioning; Application software; Computer science; Electrical capacitance tomography; Identity-based encryption; Information retrieval; Layout; Prototypes; Sliding mode control; Sun; Video recording;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 2000. Proceedings of the 33rd Annual Hawaii International Conference on
  • Print_ISBN
    0-7695-0493-0
  • Type

    conf

  • DOI
    10.1109/HICSS.2000.927006
  • Filename
    927006