Výsledky vyhledávání - "Zahálka, J."

Interactive Learning for Multimedia at Large

Autor: Khan, O.S., Jónsson, B.Þ., Rudinac, S., Zahálka, J., Ragnarsdóttir, H., Þorleiksdóttir, Þ., Guðmundsson, G.Þ., Amsaleg, L., Worring, M., Jose, J.M., Yilmaz, E., Magalhães, J., Castells, P., Ferro, N., Silva, M.J., Martins, F.

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030454388
ECIR (1)
Advances in Information Retrieval
42nd European Conference on IR Research, ECIR
42nd European Conference on IR Research, ECIR, Apr 2020, Lisbon (Portugal), France. pp.495-510, ⟨10.1007/978-3-030-45439-5_33⟩
Advances in Information Retrieval. ECIR 2020
Advances in Information Retrieval. ECIR 2020, pp.495-510, 2020, ⟨10.1007/978-3-030-45439-5_33⟩
Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020 : proceedings, I, 495-510
Khan, O S, Jónsson, B T, Rudinac, S, Zahálka, J, Ragnarsdóttir, H, Þorleiksdóttir, Þ, Guðmundsson, G Þ, Amsaleg, L & Worring, M 2020, Interactive Learning for Multimedia at Large . in Advances in Information Retrieval : 42nd European Conference on IR Research, ECIR 2020 . Springer, Lisbon, Portugal, Lecture Notes in Computer Science, vol. 12035, pp. 495-510 . https://doi.org/10.1007/978-3-030-45439-5_33

International audience; Interactive learning has been suggested as a key method for addressing analytic multimedia tasks arising in several domains. Until recently, however, methods to maintain interactive performance at the scale of today's media co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04bab65cb5d8148760b4ab72fd8c5c9c
https://doi.org/10.1007/978-3-030-45439-5_33

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Exquisitor at the Video Browser Showdown 2020

Autor: Jónsson, B.Þ., Khan, O.S., Koelma, D.C., Rudinac, S., Worring, M., Zahálka, J., Ro, Y.M., Cheng, W.-H., Kim, J., Chu, W.-T., Cui, P., Choi, J.-W., Hu, M.-C., De Neve, W.

Publikováno v: MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South Korea, January 5–8, 2020 : proceedings, II, 796-802
MultiMedia Modeling ISBN: 9783030377335
MMM (2)

When browsing large video collections, human-in-the-loop systems are essential. The system should understand the semantic information need of the user and interactively help formulate queries to satisfy that information need based on data-driven meth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b1d9bd518815631fa5e88d5ae46b703
https://doi.org/10.1007/978-3-030-37734-2_72

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Ten Research Questions for Scalable Multimedia Analytics

Autor: Jónsson, B.Þ., Worring, M., Zahálka, J., Rudinac, S., Amsaleg, L., Tian, Q., Sebe, N., Qi, G.-J., Huet, B., Hong, R., Liu, X.

Publikováno v: MultiMedia Modeling ISBN: 9783319276731
MMM (2)
MultiMedia Modeling: 22nd International Conference, MMM 2016: Miami, FL, USA, January 4-6, 2016: proceedings, 2, 290-302

The scale and complexity of multimedia collections is ever increasing, as is the desire to harvest useful insight from the collections. To optimally support the complex quest for insight, multimedia analytics has emerged as a new research area that c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::154a5ce2207f77dc652c49195b471085
https://ivi.fnwi.uva.nl/isis/publications/2016/JonssonICMM2016

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The machine in multimedia analytics

Autor: Zahálka, J.

This thesis investigates the role of the machine in multimedia analytics, a discipline that combines visual analytics with multimedia analysis algorithms in order to unlock the potential of multimedia collections as sources of knowledge in scientific

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::9079f2cc2463732a95e42bc89880eb79
https://dare.uva.nl/personal/pure/en/publications/the-machine-in-multimedia-analytics(471f8832-69f1-481a-bd60-a056892f456a).html

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Discovering Geographic Regions in the City Using Social Multimedia and Open Data

Autor: Rudinac, S., Zahálka, J., Worring, M., Amsaleg, L., Guðmundsson, G.Þ., Gurrin, C., Jónsson, B.Þ., Satoh, S.

Publikováno v: MultiMedia Modeling: 23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017 : proceedings, 2, 148-159
MultiMedia Modeling ISBN: 9783319518138
MMM (2)

In this paper we investigate the potential of social multimedia and open data for automatically identifying regions within the city. We conjecture that the regions may be characterized by specific patterns related to their visual appearance, the mann

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc2fa26599e38798363892235b0bcc16
https://doi.org/10.1007/978-3-319-51814-5_13

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Towards interactive, intelligent, and integrated multimedia analytics

Autor: Zahálka, J., Worring, M., Chen, M., Ebert, D., North, C.

Publikováno v: IEEE VAST
2014 IEEE Conference on Visual Analytics Science and Technology: proceedings: Paris, France, 9-14 October [i.e. November] 2014, 3-12
STARTPAGE=3;ENDPAGE=12;TITLE=2014 IEEE Conference on Visual Analytics Science and Technology: proceedings: Paris, France, 9-14 October [i.e. November] 2014

The size and importance of visual multimedia collections grew rapidly over the last years, creating a need for sophisticated multimedia analytics systems enabling large-scale, interactive, and insightful analysis. These systems need to integrate the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfab327237249fb47665c4cd01a7e5a3
https://doi.org/10.1109/vast.2014.7042476

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