An Adaptive Framework for Imaging Systems

  • Andreas Erik Hindborg, Lars Frydendal Bonnichsen, Nicklas Bo Jensen, Laust Brock-Nannestad, Christian W. Probst, and Sven Karlsson. An Adaptive Framework for Imaging Systems. Advanced Concepts for Intelligent Vision Systems (ACIVS 2015), 2015.
    [BibTeX] [Abstract]

    Computer vision and video processing systems handle large amounts of data with varying spatial and temporal resolution and multiple imaging modalities. The current best practice is to design video processing systems with an overcapacity, which avoids underperforming in the general case, but wastes resources. In this work we present an adaptive framework for imaging systems that aims at minimizing waste of resources. Depending on properties of the processed images, the system dynamically adapts both the implementation of the processing system and properties of the underlying hardware.

    @Misc{2015-10-HINDBORG,
    author = {Andreas Erik Hindborg and Lars Frydendal Bonnichsen and Nicklas Bo Jensen and Laust Brock-Nannestad and Christian W. Probst and Sven Karlsson},
    title = {{An Adaptive Framework for Imaging Systems}},
    howpublished = {Advanced Concepts for Intelligent Vision Systems (ACIVS 2015)},
    address = {Catania, Italy},
    date = {2015-10-26/2015-10-29},
    year = {2015},
    abstract = {Computer vision and video processing systems handle large amounts of data with varying spatial and temporal resolution and multiple imaging modalities. The current best practice is to design video processing systems with an overcapacity, which avoids underperforming in the general case, but wastes resources. In this work we present an adaptive framework for imaging systems that aims at minimizing waste of resources. Depending on properties of the processed images, the system dynamically adapts both the implementation of the processing system and properties of the underlying hardware. }
    }

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