Abstract
This paper presents an enhanced version of an interactive video retrieval tool SOMHunter that won Video Browser Showdown 2020. The presented enhancements focus on improving text querying capabilities since the text search model plays a crucial part in successful searches. Hence, we introduce the ability to specify multiple text queries with further positional specification so users can better describe positional relationships of the objects. Moreover, a possibility to further specify text queries with an example image is introduced as well as consequent changes to the user interface of the tool.
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Andreadis, S., et al.: VERGE in VBS 2020. In: Ro, Y.M., et al. (eds.) MMM 2020. LNCS, vol. 11962, pp. 778–783. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-37734-2_69
Cobârzan, C., et al.: Interactive video search tools: a detailed analysis of the video browser showdown 2015. Multimed. Tools Appl. 76(4), 5539–5571 (2016). https://doi.org/10.1007/s11042-016-3661-2
Cox, I.J., Miller, M.L., Minka, T.P., Papathomas, T.V., Yianilos, P.N.: The Bayesian image retrieval system, pichunter: theory, implementation, and psychophysical experiments. IEEE Trans. Image Process. 9(1), 20–37 (2000)
Gurrin, C., et al.: Comparing approaches to interactive lifelog search at the lifelog search challenge (LSC2018). ITE Trans. Media Technol. Appl. 7(2), 46–59 (2019)
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
Kohonen, T.: The self-organizing map. Neurocomputing 21(1–3), 1–6 (1998)
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
Kratochvíl, M., Mejzlík, F., Veselý, P., Souček, T., Lokoč, J.: SOMHunter: lightweight video search system with SOM-guided relevance feedback. In: Proceedings of the 28th ACM International Conference on Multimedia, MM 2020. ACM (2020, in press)
Le, N.-K., Nguyen, D.-H., Tran, M.-T.: An interactive video search platform for multi-modal retrieval with advanced concepts. In: Ro, Y.M., et al. (eds.) MMM 2020. LNCS, vol. 11962, pp. 766–771. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-37734-2_67
Leibetseder, A., Münzer, B., Primus, J., Kletz, S., Schoeffmann, K.: diveXplore 4.0: the ITEC deep interactive video exploration system at VBS2020. In: Ro, Y.M., et al. (eds.) MMM 2020. LNCS, vol. 11962, pp. 753–759. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-37734-2_65
Li, X., Xu, C., Yang, G., Chen, Z., Dong, J.: W2VV++ fully deep learning for ad-hoc video search. In: Proceedings of the 27th ACM International Conference on Multimedia, pp. 1786–1794 (2019)
Lokoč, J., Bailer, W., Schoeffmann, K., Münzer, B., Awad, G.: On influential trends in interactive video retrieval: video browser showdown 2015–2017. IEEE Trans. Multimed. 20(12), 3361–3376 (2018)
Lokoč, J., et al.: Interactive search or sequential browsing? A detailed analysis of the video browser showdown 2018. ACM Trans. Multimed. Comput. Commun. Appl. (TOMM) 15(1), 1–18 (2019)
Lokoč, J., Kovalčík, G., Souček, T.: VIRET at video browser showdown 2020. In: Ro, Y.M., et al. (eds.) MMM 2020. LNCS, vol. 11962, pp. 784–789. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-37734-2_70
Mejzlík, F., Veselỳ, P., Kratochvíl, M., Souček, T., Lokoč, J.: Somhunter for lifelog search. In: Proceedings of the Third Annual Workshop on Lifelog Search Challenge, pp. 73–75 (2020)
Mettes, P., Koelma, D.C., Snoek, C.G.M.: Shuffled imagenet banks for video event detection and search. ACM Trans. Multimed. Comput. Commun. Appl. (TOMM) 16(2), 1–21 (2020)
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
Rossetto, L., et al.: Interactive video retrieval in the age of deep learning - detailed evaluation of VBS 2019. IEEE Trans. Multimed. (2020)
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
Schoeffmann, K.: A user-centric media retrieval competition: the video browser showdown 2012–2014. IEEE Multimed. 21(4), 8–13 (2014)
Schoeffmann, K.: Video browser showdown 2012–2019: a review. In: 2019 International Conference on Content-Based Multimedia Indexing (CBMI), pp. 1–4. IEEE (2019)
Park, S., Song, J., Park, M., Ro, Y.M.: IVIST: interactive video search tool in VBS 2020. In: Ro, Y.M., et al. (eds.) MMM 2020. LNCS, vol. 11962, pp. 809–814. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-37734-2_74
Acknowledgments
This paper has been supported by Czech Science Foundation (GAČR) project 19-22071Y and by Charles University grant SVV-260588.
We are grateful to Tomáš Souček for his help with frame selection and feature extraction. Also, we thank Miroslav Kratochvíl for his valuable feedback and help with the implementation.
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Veselý, P., Mejzlík, F., Lokoč, J. (2021). SOMHunter V2 at Video Browser Showdown 2021. In: Lokoč, J., 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_45
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DOI: https://doi.org/10.1007/978-3-030-67835-7_45
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