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VERGE in VBS 2017

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MultiMedia Modeling (MMM 2017)

Abstract

This paper presents VERGE interactive video retrieval engine, which is capable of browsing and searching into video content. The system integrates several content-based analysis and retrieval modules including concept detection, clustering, visual similarity search, object-based search, query analysis and multimodal and temporal fusion.

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Notes

  1. 1.

    http://mklab-services.iti.gr/vss2016.

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Acknowledgements

This work was supported by the EU’s Horizon 2020 research and innovation programme under grant agreements H2020-687786 InVID, H2020-693092 MOVING, H2020-645012 KRISTINA and H2020-700024 TENSOR.

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Correspondence to Anastasia Moumtzidou .

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Moumtzidou, A. et al. (2017). VERGE in VBS 2017. In: Amsaleg, L., Guðmundsson, G., Gurrin, C., Jónsson, B., Satoh, S. (eds) MultiMedia Modeling. MMM 2017. Lecture Notes in Computer Science(), vol 10133. Springer, Cham. https://doi.org/10.1007/978-3-319-51814-5_46

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  • DOI: https://doi.org/10.1007/978-3-319-51814-5_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51813-8

  • Online ISBN: 978-3-319-51814-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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