Abstract
This paper presents the competitive video retrieval capabilities of vitrivr. The vitrivr stack is the continuation of the IMOTION system which participated to the Video Browser Showdown competitions since 2015. The primary focus of vitrivr and its participation in this competition is to simplify and generalize the system’s individual components, making them easier to deploy and use. The entire vitrivr stack is made available as open source software.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
References
Cobârzan, C., Schoeffmann, K., Bailer, W., Hürst, W., Blažek, A., Lokoč, J., Vrochidis, S., Barthel, K.W., Rossetto, L.: Interactive video search tools: a detailed analysis of the video browser showdown 2015. Multimedia Tools Appl. 76(4), 5539–5571 (2017)
Giangreco, I., Schuldt, H.: ADAM\(_{pro}\): database support for big multimedia retrieval. Datenbank-Spektrum 16(1), 17–26 (2016)
Rossetto, L., Giangreco, I., Heller, S., Tănase, C., Schuldt, H., Dupont, S., Seddati, O., Sezgin, M., Altıok, O.C., Sahillioğlu, Y.: IMOTION - searching for video sequences using multi-shot sketch. In: Tian, Q., Sebe, N., Qi, G.-J., Huet, B., Hong, R., Liu, X. (eds.) MMM 2016. LNCS, vol. 9517, pp. 377–382. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-27674-8_36
Rossetto, L., Giangreco, I., Schuldt, H.: Cineast: a multi-feature sketch-based video retrieval engine. In: Proceedings of the 2014 IEEE International Symposium on Multimedia (ISM 2014), Taichung, Taiwan, pp. 18–23. IEEE Computer Society, December 2014
Rossetto, L., Giangreco, I., Schuldt, H., Dupont, S., Seddati, O., Sezgin, M., Sahillioğlu, Y.: IMOTION — a content-based video retrieval engine. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds.) MMM 2015. LNCS, vol. 8936, pp. 255–260. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-14442-9_24
Rossetto, L., Giangreco, I., Tănase, C., Schuldt, H.: vitrivr: a flexible retrieval stack supporting multiple query modes for searching in multimedia collections. In: Proceedings of the 2016 ACM Conference on Multimedia Conference (ACM MM 2016), Amsterdam, The Netherlands, pp. 1183–1186. ACM, October 2016
Rossetto, L., Giangreco, I., Tănase, C., Schuldt, H.: Multimodal video retrieval with the 2017 IMOTION system. In: Proceedings of the 2017 ACM International Conference on Multimedia Retrieval (ICMR 2017), Bucharest, Romania, pp. 457–460. ACM, June 2017
Rossetto, L., Giangreco, I., Tănase, C., Schuldt, H., Dupont, S., Seddati, O.: Enhanced retrieval and browsing in the IMOTION system. In: Amsaleg, L., Guðmundsson, G.Þ., Gurrin, C., Jónsson, B.Þ., Satoh, S. (eds.) MMM 2017. LNCS, vol. 10133, pp. 469–474. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-51814-5_43
Acknowledgements
This work was partly supported by the Chist-Era project IMOTION with contributions from the Swiss National Science Foundation (SNSF, contract no. 20CH21_151571).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Rossetto, L., Giangreco, I., Gasser, R., Schuldt, H. (2018). Competitive Video Retrieval with vitrivr. In: Schoeffmann, K., et al. MultiMedia Modeling. MMM 2018. Lecture Notes in Computer Science(), vol 10705. Springer, Cham. https://doi.org/10.1007/978-3-319-73600-6_41
Download citation
DOI: https://doi.org/10.1007/978-3-319-73600-6_41
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73599-3
Online ISBN: 978-3-319-73600-6
eBook Packages: Computer ScienceComputer Science (R0)