Abstract
In this paper, we present a new signature-based video browser tool relying on the natural human ability to perceive and memorize visual stimuli of color regions in video frames. The tool utilizes feature signatures based on color and position extracted from the key frames in the preprocessing phase. Such content representation facilitates users in drawing simple query sketches and enables also effective and efficient processing of the query sketches. Besides user drawn simple sketches of desired scenes, the tool supports also several additional automatic content-based analysis techniques enabling restrictions to various concepts like faces or shapes.
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Lokoč, J., Blažek, A., Skopal, T. (2014). Signature-Based Video Browser. In: Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O’Connor, N. (eds) MultiMedia Modeling. MMM 2014. Lecture Notes in Computer Science, vol 8326. Springer, Cham. https://doi.org/10.1007/978-3-319-04117-9_49
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DOI: https://doi.org/10.1007/978-3-319-04117-9_49
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04116-2
Online ISBN: 978-3-319-04117-9
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