Zobrazeno 1 - 10 of 23 pro vyhledávání: '"Jan Zahálka"'
3
II-20: Intelligent and pragmatic analytic categorization of image collections
Autor: Marcel Worring, Jarke J. van Wijk, Jan Zahálka
Publikováno v: IEEE Transactions on Visualization and Computer Graphics, 27(2):9230430, 422-431. IEEE Computer Society
arXiv, 2020:2005.02149. Cornell University Library
We introduce II-20 (Image Insight 2020), a multimedia analytics approach for analytic categorization of image collections. Advanced visualizations for image collections exist, but they need tight integration with a machine model to support analytic c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a69a090383dbe0ae81e8ac2fddb63a3
https://doi.org/10.1109/TVCG.2020.3030383
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5
Reproducibility Companion Paper
Autor: Thomas Schierl, Cornelius Hellge, Marc A. Kastner, Sebastian Bosse, Dimitri Podborski, Jan Zahálka, Serhan Gül
Publikováno v: ACM Multimedia
In our MM'20 paper,, we presented a Kalman filter-based approach for prediction of head motion in 6DoF. The proposed approach was employed in our cloud-based volumetric video streaming system to reduce the interaction latency experienced by the user.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b3cbaa13184e486bf3e1caaca88f8fe4
https://doi.org/10.1145/3474085.3477936
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6
Reproducibility Companion Paper
Autor: Lucjan Janowski, Jakub Nawała, Bogdan Ćmiel, Marc A. Kastner, Krzysztof Rusek, Jan Zahálka
Publikováno v: ACM Multimedia
In this paper we reproduce experimental results presented in our earlier work titled "Describing Subjective Experiment Consistency by $p$-Value P-P Plot" that was presented in the course of the 28th ACM International Conference on Multimedia. The pap
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddd4636ca5e87e9636d878f7d752cf9a
https://doi.org/10.1145/3474085.3477935
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7
Exquisitor at the Lifelog Search Challenge 2021
Autor: Omar Shahbaz Khan, Björn Þór Jónsson, Jan Zahálka, Aaron Duane, Marcel Worring, Stevan Rudinac
Publikováno v: LSC 2021 : Proceedings of the 4th Annual Lifelog Search Challenge: August 21, 2021, Taipei, Taiwan, 3-6
STARTPAGE=3;ENDPAGE=6;TITLE=LSC 2021 : Proceedings of the 4th Annual Lifelog Search Challenge
LSC@ICMR
Khan, O S, Duane, A, Jónsson, B T, Zahálka, J, Rudinac, S & Worring, M 2021, Exquisitor at the Lifelog Search Challenge 2021: Relationships Between Semantic Classifiers . in LSC '21: Proceedings of the 4th Annual on Lifelog Search Challenge . Association for Computing Machinery, Taipei, Taiwan (virtual), pp. 3-6 . https://doi.org/10.1145/3463948.3469255, https://doi.org/https://dl.acm.org/doi/10.1145/3463948.3469255
Exquisitor is a scalable media exploration system based on interactive learning. To satisfy a user's information need, the system asks the user for feedback on media items and uses that feedback to interactively construct a classifier, that is in tur
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b43ec42f54dc9d49241e881484c8578
https://doi.org/10.1145/3463948.3469255
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8
Impact of interaction strategies on user relevance feedback
Autor: Omar Shahbaz Khan, Stevan Rudinac, Jan Zahálka, Björn Þór Jónsson, Marcel Worring
Publikováno v: ICMR
Khan, O S, Jónsson, B T, Zahálka, J, Rudinac, S & Worring, M 2021, Impact of Interaction Strategies on User Relevance Feedback . in ICMR '21: Proceedings of the 2021 International Conference on Multimedia Retrieval . Association for Computing Machinery, Taipei, Taiwan (virtual), pp. 590-598 . https://doi.org/10.1145/3460426.3463663, https://doi.org/https://dl.acm.org/doi/10.1145/3460426.3463663
ICMR '21: proceedings of the 2021 International Conference on Multimedia Retrieval : August 21-24, 2021, Taipei, Taiwan, 590-598
STARTPAGE=590;ENDPAGE=598;TITLE=ICMR '21
User Relevance Feedback (URF) is a class of interactive learning methods that rely on the interaction between a human user and a system to analyze a media collection. To improve URF system evaluation and design better systems, it is important to unde
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfd1124d041472afff3a1eba6e320884
https://dare.uva.nl/personal/pure/en/publications/impact-of-interaction-strategies-on-user-relevance-feedback(dda86a64-4877-4712-bec2-534dcd783e0a).html
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9
XQM: Interactive Learning on Mobile Phones
Autor: Kim I. Schild, Björn Þór Jónsson, Jan Zahálka, Alexandra M. Bagi, Omar Shahbaz Khan
Publikováno v: MultiMedia Modeling ISBN: 9783030678340
MMM (2)
There is an increasing need for intelligent interaction with media collections, and mobile phones are gaining significant traction as the device of choice for many users. In this paper, we present XQM, a mobile approach for intelligent interaction wi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c5955d8a6b07f45848395c59b28ac15a
https://doi.org/10.1007/978-3-030-67835-7_24
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10
Akademický článek
A Security Risk Taxonomy for Prompt-Based Interaction With Large Language Models
Autor: Erik Derner, Kristina Batistic, Jan Zahalka, Robert Babuska
Publikováno v: IEEE Access, Vol 12, Pp 126176-126187 (2024)
As large language models (LLMs) permeate more and more applications, an assessment of their associated security risks becomes increasingly necessary. The potential for exploitation by malicious actors, ranging from disinformation to data breaches and
Externí odkaz: https://doaj.org/article/029e0f9f89194bc0ab0325b01591f02b
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