Abstract
This paper presents a tool for interactive filtering and browsing of up to hundreds of hours of video content. In particular, we address the known-item search, i.e., searching for a short video clip known visually or by textual description. Video content is filtered with simple user-defined sketches of the searched scenes consisting of its distinct color regions and significant edges. Furthermore, the filtered content might be browsed with the query-by-example paradigm utilizing either visual or semantic similarity.
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Acknowledgments
This research has been supported in part by Czech Science Foundation project 15-08916S and by project SVV-2015-260222.
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Kuboň, D., Blažek, A., Lokoč, J., Skopal, T. (2016). Multi-sketch Semantic Video Browser. In: Tian, Q., Sebe, N., Qi, GJ., Huet, B., Hong, R., Liu, X. (eds) MultiMedia Modeling. MMM 2016. Lecture Notes in Computer Science(), vol 9517. Springer, Cham. https://doi.org/10.1007/978-3-319-27674-8_41
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DOI: https://doi.org/10.1007/978-3-319-27674-8_41
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