Frame Hierarchy: A Framework for Level-of-Detail Video Visualization

نویسندگان

  • Neta Sokolovsky
  • Jihad El-Sana
  • Michael Elhadad
چکیده

The advances in video acquisition and storage technologies have increased the quantity and size of the generated video data for various applications. The video data is usually processed by human being as tedious time-consuming task. In this paper we are presenting a novel approach to generate a multiresolution representation of a video data – frame hierarchy – that provides a level-of-detail visualization in an adaptive manner. Frame hierarchy is constructed off-line from the original video data based on a given visual distance metric. At real-time the generated data structure is used to guide the selection of an appropriate levelof-detail representation of the video data based on various control parameters. Frame hierarchy is a general framework for levelof-detail video visualization that supports various navigation patterns and extends the available video visualization techniques. It enables passive visualization as well as interactive visualization where the extracted levels of detail change interactively to comply with the visual error and the user requests.

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تاریخ انتشار 2005