Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Chrysa, Collyda"'
Autor:
Paul Grunewald, Ilija Simic, Alexandros Pournaras, Ahmed Saleh, Aitor Apaolaza, Vasileios Mezaris, Tanja Zdolšek Draksler, Markel Vigo, Sabine Barthold, Angela Fessl, Vedran Sabol, Ansgar Scherp, Michael Wiese, Chifumi Nishioka, Iacopo Vagliano, Irina Bienia, Till Blume, Chrysa Collyda, Sabrina Herbst, Thomas Köhler, Sebastian Gottfried, Andrzej M. J. Skulimowski, Robert Lorenz, Tobias Backes, Matthias Heinz, Franziska Günther
Publikováno v:
Progress in IS ISBN: 9783030662615
Scholars and professionals in various sectors of the economy, including public administrators, corporate compliance officers, and auditors, deal with an ever-increasing flow of information (new scientific publications, business documents and multimed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56c694801b9dc449988dd64bfca58157
https://zenodo.org/record/4662810
https://zenodo.org/record/4662810
Autor:
Evlampios Apostolidis, Chrysa Collyda, Eleni Adamantidou, Konstantinos Apostolidis, Vasileios Mezaris, Alexandros I. Metsai
Publikováno v:
IMX
This paper presents a Web service that supports the automatic generation of video summaries for user-submitted videos. The developed Web application decomposes the video into segments, evaluates the fitness of each segment to be included in the video
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3643d88fa0b83de906ff784900fcf321
https://doi.org/10.1145/3391614.3399391
https://doi.org/10.1145/3391614.3399391
Publikováno v:
Multimedia Tools and Applications. 76:1735-1774
This paper presents a web-based interactive tool for time-efficient instance-level spatiotemporal labeling of videos, based on the re-detection of manually selected objects of interest that appear in them. The developed tool allows the user to select
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a417db73641545366cbf9699626c158
https://doi.org/10.1007/s11042-015-3125-0
https://doi.org/10.1007/s11042-015-3125-0
Autor:
Vasileios Mezaris, Foteini Markatopoulou, Chrysa Collyda, Evlampios Apostolidis, Ioannis Patras, Alexandros Pournaras
Publikováno v:
ICMR
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval-ICMR 17
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval -ICMR '17
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval-ICMR 17
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval -ICMR '17
This paper presents the VideoAnalysis4ALL tool that supports the automatic fragmentation and concept-based annotation of videos, and the exploration of the annotated video fragments through an interactive user interface. The developed web application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a12289154c28d1eeb8c83448b1da8e2e
https://doi.org/10.1145/3078971.3079015
https://doi.org/10.1145/3078971.3079015
Autor:
Vassilis, Koutkias, Vassilis, Kilintzis, George, Stalidis, Katerina, Lazou, Chrysa, Collyda, Emmanuel, Chazard, Peter, McNair, Regis, Beuscart, Nicos, Maglaveras
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2010
A knowledge-based approach is proposed that is employed for the construction of a framework suitable for the management and effective use of knowledge on Adverse Drug Event (ADE) prevention. The framework has as its core part a Knowledge Base (KB) co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::8c71f6a53f3f3a10bf07b3e74747276f
https://pubmed.ncbi.nlm.nih.gov/21347009
https://pubmed.ncbi.nlm.nih.gov/21347009
Publikováno v:
Studies in health technology and informatics. 129(Pt 2)
Any effective phylogeny inference based on molecular data begins by performing efficient multiple sequence alignments. So far, the Hidden Markov Model (HMM) method for multiple sequence alignment has been proved competitive to the classical determini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::92da379aea49907369858f15bb478356
https://pubmed.ncbi.nlm.nih.gov/17911914
https://pubmed.ncbi.nlm.nih.gov/17911914
Publikováno v:
Studies in health technology and informatics. 124
This paper proposes a novel method for aligning multiple genomic or proteomic sequences using a fuzzyfied Hidden Markov Model (HMM). HMMs are known to provide compelling performance among multiple sequence alignment (MSA) algorithms, yet their stocha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::8d9cf3294a5bec124fc8b43f13e0f37f
https://pubmed.ncbi.nlm.nih.gov/17108510
https://pubmed.ncbi.nlm.nih.gov/17108510
Autor:
Michael Wiese, Ansgar Scherp, Angela Fessl, Chrysa Collyda, Franziska Günther, Peter Hasitschka, Iacopo Vagliano, Irina Bienia, Andrzej M. J. Skulimowski, Markel Vigo, Matthias Heinz, Annalouise Maas, Ahmed Saleh, Alfred Wertner, Vasileios Mezaris, Till Blume, Aitor Apaolaza, Sebastian Gottfried, Gert Breitfuss, Jasmin Kellermann, Thomas Köhler, Stefan Thalmann
Publikováno v:
IEEE MultiMedia
The MOVING platform enables its users to improve their information literacy by training how to exploit data mining methods in their daily research tasks. Its novel integrated working and training environment supports the education of data-savvy infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ac6175926fbe267f831108e0cb9f0ee