Publication: Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS
Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS
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Lokoč, J., Andreadis, S., Bailer, W., Duane, A., Gurrin, C., Ma, Z., Messina, N., Nguyen, T.-N., Peška, L., Rossetto, L., Sauter, L., Schall, K., Schoeffmann, K., Khan, O. S., Spiess, F., Vadicamo, L., & Vrochidis, S. (2023). Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS. Multimedia Systems, 29(6), 3481–3504. https://doi.org/10.1007/s00530-023-01143-5
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This paper presents findings of the eleventh Video Browser Showdown competition, where sixteen teams competed in known-item and ad-hoc search tasks. Many of the teams utilized state-of-the-art video retrieval approaches that demonstrated high effectiveness in challenging search scenarios. In this paper, a broad survey of all utilized approaches is presented in connection with an analysis of the performance of participating teams. Specifically, both high-level performance indicators are presented with overall statistics as well as in-d
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- Lokoč, Jakub
- Andreadis, Stelios
- Bailer, Werner
- Duane, Aaron
- Gurrin, Cathal
- Ma, Zhixin
- Messina, Nicola
- Nguyen, Thao-Nhu
- Peška, Ladislav
- Rossetto, Luca
- Sauter, Loris
- Schall, Konstantin
- Schoeffmann, Klaus
- Khan, Omar Shahbaz
- Spiess, Florian
- Vadicamo, Lucia
- Vrochidis, Stefanos
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Lokoč, J., Andreadis, S., Bailer, W., Duane, A., Gurrin, C., Ma, Z., Messina, N., Nguyen, T.-N., Peška, L., Rossetto, L., Sauter, L., Schall, K., Schoeffmann, K., Khan, O. S., Spiess, F., Vadicamo, L., & Vrochidis, S. (2023). Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS. Multimedia Systems, 29(6), 3481–3504. https://doi.org/10.1007/s00530-023-01143-5
