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Exquisitor at the Video Browser Showdown 2021: Relationships Between Semantic Classifiers

Part of the Lecture Notes in Computer Science book series (LNISA,volume 12573)

Abstract

Exquisitor is a scalable media exploration system based on interactive learning, which first took part in VBS in 2020. This paper presents an extension to Exquisitor, which supports operations on semantic classifiers to solve VBS tasks with temporal constraints. We outline the approach and present preliminary results, which indicate the potential of the approach.

Keywords

  • Interactive learning
  • Video browsing
  • Temporal relations

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  • DOI: 10.1007/978-3-030-67835-7_37
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References

  1. Guðmundsson, G.Þ., Jónsson, B.Þ., Amsaleg, L.: A large-scale performance study of cluster-based high-dimensional indexing. In: Proceedings of International Workshop on Very-large-scale Multimedia Corpus, Mining and Retrieval (VLS-MCM). Firenze, Italy (2010)

    Google Scholar 

  2. Jónsson, B.Þ., Khan, O.S., Koelma, D.C., Rudinac, S., Worring, M., Zahálka, J.: Exquisitor at the video browser showdown 2020. In: Ro, Y.M., et al. (eds.) MMM 2020. LNCS, vol. 11962, pp. 796–802. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-37734-2_72

    CrossRef  Google Scholar 

  3. Khan, O.S., et al.: Interactive learning for multimedia at large. In: Jose, J.M., et al. (eds.) ECIR 2020. LNCS, vol. 12035, pp. 495–510. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-45439-5_33

  4. Kratochvíl, M., Veselý, P., Mejzlík, F., Lokoč, J.: SOM-hunter: video browsing with relevance-to-SOM feedback loop. In: Ro, Y.M., et al. (eds.) MMM 2020. LNCS, vol. 11962, pp. 790–795. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-37734-2_71

    CrossRef  Google Scholar 

  5. Lokoč, J., et al.: Interactive search or sequential browsing? A detailed analysis of the Video Browser Showdown 2018. ACM TOMM 15(1) (2019)

    Google Scholar 

  6. Lokoč, J., Kovalčík, G., Souček, T.: VIRET at video browser showdown 2020. In: Ro, Y.M., Cheng, W.-H., Kim, J., Chu, W.-T., Cui, P., Choi, J.-W., Hu, M.-C., De Neve, W. (eds.) MMM 2020. LNCS, vol. 11962, pp. 784–789. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-37734-2_70

    CrossRef  Google Scholar 

  7. Nguyen, P.A., Wu, J., Ngo, C.-W., Francis, D., Huet, B.: VIREO @ video browser showdown 2020. In: Ro, Y.M., et al. (eds.) MMM 2020. LNCS, vol. 11962, pp. 772–777. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-37734-2_68

    CrossRef  Google Scholar 

  8. Ragnarsdóttir, H., et al.: Exquisitor: breaking the interaction barrier for exploration of 100 million images. In: Proceedings of the ACM Multimedia. Nice, France (2019)

    Google Scholar 

  9. Rossetto, L., Schuldt, H., Awad, G., Butt, A.A.: V3C - a research video collection. In: Kompatsiaris, I., Huet, B., Mezaris, V., Gurrin, C., Cheng, WH., Vrochidis, S. (eds.) Proceedings of MultiMedia Modeling (MMM). Thessaloniki, Greece (2019)

    Google Scholar 

  10. Sauter, L., Amiri Parian, M., Gasser, R., Heller, S., Rossetto, L., Schuldt, H.: Combining Boolean and multimedia retrieval in vitrivr for large-scale video search. In: RO, Y.M., et al. (eds.) MMM 2020. LNCS, vol. 11962, pp. 760–765. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-37734-2_66

    CrossRef  Google Scholar 

  11. Zahálka, J., Rudinac, S., Jónsson, B.Þ., Koelma, D.C., Worring, M.: Blackthorn: large-scale interactive multimodal learning. IEEE TMM 20(3) (2018)

    Google Scholar 

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Acknowledgments

This work was supported by a PhD grant from the IT University of Copenhagen and by the European Regional Development Fund (project Robotics for Industry 4.0, CZ.02.1.01/0.0/0.0/15 003/0000470).

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Correspondence to Omar Shahbaz Khan .

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Khan, O.S. et al. (2021). Exquisitor at the Video Browser Showdown 2021: Relationships Between Semantic Classifiers. In: , et al. MultiMedia Modeling. MMM 2021. Lecture Notes in Computer Science(), vol 12573. Springer, Cham. https://doi.org/10.1007/978-3-030-67835-7_37

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  • DOI: https://doi.org/10.1007/978-3-030-67835-7_37

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