Videoviews: A Content Based Video Description Schema and Database Navigation Tool

  • Sadiye Guler
  • Ian Pushee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2797)

Abstract

We introduce a unified framework for video data mining consisting of a comprehensive video description schema and an intuitive browsing, manipulation and database navigation tool; “VideoViews”. The proposed description schema is based on the structure and the semantics of the video data and incorporates scene, camera, object, track and behavior information pertaining to a large class of video data. The database tool is designed to exploit both the hierarchical structure of video data, the clips, shots or scenes, as well as the semantic structure, such as scene geometry, camera parameters, objects and the object behaviors. VideoViews provides means for intuitive representation and navigation, interactive manipulation, ability to annotate and correlate the data in the video database, while also supporting conventional database queries. This hierarchically and semantically structured browsing tool enables users to freely navigate to perform top-down and bottom-up analysis of the video database to visualize the information and data from a number of perspectives. The VideoViews description schema and the navigation tool are designed and developed as part of a video analysis and content extraction framework devised under U.S. Government ARDA /VACE (Video Analysis and Content Extraction) project.

Keywords

Video Clip Video Data Video Content Video Analysis Camera Parameter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Sadiye Guler
    • 1
  • Ian Pushee
    • 1
  1. 1.Northrop Grumman Information Technology / TASCReadingUSA

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