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A Framework for Review, Annotation, and Classification of Continuous Video in Context

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Smart Graphics (SG 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5531))

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Abstract

We present a multi-modal video analysis framework for life-logging research. Domain-specific approaches and alternative software solutions are referenced, then we briefly outline the concept and realization of our OS X-based software for experimental research on segmentation of continuous video using sensor context. The framework facilitates visual inspection, basic data annotation, and the development of sensor fusion-based machine learning algorithms.

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© 2009 Springer-Verlag Berlin Heidelberg

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Lensing, T., Dickmann, L., Beauregard, S. (2009). A Framework for Review, Annotation, and Classification of Continuous Video in Context. In: Butz, A., Fisher, B., Christie, M., Krüger, A., Olivier, P., Therón, R. (eds) Smart Graphics. SG 2009. Lecture Notes in Computer Science, vol 5531. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02115-2_28

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  • DOI: https://doi.org/10.1007/978-3-642-02115-2_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02114-5

  • Online ISBN: 978-3-642-02115-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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