Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Tomáš Souček"'
Publikováno v:
Health and Technology. 12:801-807
Publikováno v:
Lékař a technika - Clinician and Technology. 52:18-22
The aim of the study was to assess the interaction of the cardiostimulation system of the patient and the source of electromagnetic interference (EMI) during the patient’s work by Holter monitoring of ECG. Finally, to analyze ECG recording and eval
Autor:
Andreas Leibetseder, Stefanos Vrochidis, Klaus Schoeffmann, Luca Rossetto, Tomáš Souček, Werner Bailer, Bernd Muenzer, Paolo Bolettieri, Phuong Anh Nguyen, Ralph Gasser, Jakub Lokoč
Publikováno v:
IEEE Transactions on Multimedia. 23:243-256
Despite the fact that automatic content analysis has made remarkable progress over the last decade - mainly due to significant advances in machine learning - interactive video retrieval is still a very challenging problem, with an increasing relevanc
Publikováno v:
MultiMedia Modeling ISBN: 9783030983543
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::293d4bfc471ad071b2353b96b402e806
https://doi.org/10.1007/978-3-030-98355-0_46
https://doi.org/10.1007/978-3-030-98355-0_46
Publikováno v:
LSC@ICMR
SOMHunter represents a modern light-weight framework for known-item search in datasets of visual data like images or videos. The framework combines an effective W2VV++ text-to-image search approach, a traditional Bayesian like model for maintenance o
Autor:
Jakub Lokoč, Tomáš Souček
Publikováno v:
Similarity Search and Applications ISBN: 9783030896560
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::148480666cacfec2e44a9288be4bb81e
https://doi.org/10.1007/978-3-030-89657-7_5
https://doi.org/10.1007/978-3-030-89657-7_5
Autor:
František Mejzlík, Ralph Gasser, Loris Sauter, Jakub Lokoč, Heiko Schuldt, Miroslav Kratochvíl, Patrik Vesely, Tomáš Souček, Florian Spiess, Mahnaz Parian-Scherb, Ladislav Peska, Silvan Heller, Luca Rossetto
In the research of video retrieval systems, comparative assessments during dedicated retrieval competitions provide priceless insights into the performance of individual systems. The scope and depth of such evaluations is unfortunately hard to improv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a05f850cffce8c41053e0dadedd5496
Publikováno v:
MultiMedia Modeling ISBN: 9783030678340
MMM (2)
MMM (2)
The W2VV++ model BoW variant integrated to VIRET and SOMHunter systems has proven its effectiveness in the previous Video Browser Showdown competition in 2020. As a next experimental interactive search prototype to benchmark, we consider a simple sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9d0f733874f0e3d05c74e3490a02360
https://doi.org/10.1007/978-3-030-67835-7_46
https://doi.org/10.1007/978-3-030-67835-7_46
Publikováno v:
ACM Multimedia
In the last decade, the Video Browser Showdown (VBS) became a comparative platform for various interactive video search tools competing in selected video retrieval tasks. However, the participation of new teams with an own, novel tool is prohibitivel
Publikováno v:
ACM Multimedia
As reported by respected evaluation campaigns focusing both on automated and interactive video search approaches, deep learning started to dominate the video retrieval area. However, the results are still not satisfactory for many types of search tas