Abstract
In this paper, we present the features implemented in the 4th version of the VIREO Video Search System (VIREO-VSS). In this version, we propose a sketch-based retrieval model, which allows the user to specify a video scene with objects and their basic properties, including color, size, and location. We further utilize the temporal relation between video frames to strengthen this retrieval model. For text-based retrieval module, we supply speech and on-screen text for free-text search and upgrade the concept bank for concept search. The search interface is also re-designed targeting the novice user. With the introduced system, we expect that the VIREO-VSS can be a competitive participant in the Video Browser Showdown (VBS) 2020.
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Acknowledgments
The work described in this paper was supported by a grant from the Research Grants Council of the Hong Kong SAR, China (Reference No.: CityU 11250716), and a grant from the PROCORE-France/Hong Kong Joint Research Scheme sponsored by the Research Grants Council of Hong Kong and the Consulate General of France in Hong Kong (Reference No.: F-CityU104/17).
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Nguyen, P.A., Wu, J., Ngo, CW., Francis, D., Huet, B. (2020). VIREO @ Video Browser Showdown 2020. In: Ro, Y., et al. MultiMedia Modeling. MMM 2020. Lecture Notes in Computer Science(), vol 11962. Springer, Cham. https://doi.org/10.1007/978-3-030-37734-2_68
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DOI: https://doi.org/10.1007/978-3-030-37734-2_68
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