Zobrazeno 1 - 10
of 199
pro vyhledávání: '"Geun-Sik Jo"'
Publikováno v:
IEEE Access, Vol 12, Pp 142819-142837 (2024)
Multi-Object Tracking (MOT) involves the simultaneous tracking of multiple targets in a scene, demanding accurate discrimination of foreground and background, as well as precise identification of feature distinctions among diverse objects. Simple Onl
Externí odkaz:
https://doaj.org/article/a173af8c85f943db8b450a298428ad69
Publikováno v:
Sensors, Vol 23, Iss 7, p 3384 (2023)
Individuals spend time on online video-sharing platforms searching for videos. Video summarization helps search through many videos efficiently and quickly. In this paper, we propose an unsupervised video summarization method based on deep reinforcem
Externí odkaz:
https://doaj.org/article/e7c75fc30a214cd8be26b9acc1e666a1
Publikováno v:
Sensors, Vol 23, Iss 3, p 1729 (2023)
Digital twins have revolutionized manufacturing and maintenance, allowing us to interact with virtual yet realistic representations of the physical world in simulations to identify potential problems or opportunities for improvement. However, traditi
Externí odkaz:
https://doaj.org/article/d5b75c0c49e346c0bb9c1c227a1e0c94
Autor:
Aziz Siyaev, Geun-Sik Jo
Publikováno v:
IEEE Access, Vol 9, Pp 154484-154499 (2021)
In the emerging world of metaverses, it is essential for speech communication systems to be aware of context to interact with virtual assets in the 3D world. This paper proposes the metaverse for aircraft maintenance training and education of Boeing-
Externí odkaz:
https://doaj.org/article/006400b4cfb94af1b825ae170cec6503
Publikováno v:
Sensors, Vol 21, Iss 13, p 4562 (2021)
This paper addresses the problem of unsupervised video summarization. Video summarization helps people browse large-scale videos easily with a summary from the selected frames of the video. In this paper, we propose an unsupervised video summarizatio
Externí odkaz:
https://doaj.org/article/a159cce4baf64f8084bb8ab9d2fa8ed8
Autor:
Aziz Siyaev, Geun-Sik Jo
Publikováno v:
Sensors, Vol 21, Iss 6, p 2066 (2021)
Metaverses embedded in our lives create virtual experiences inside of the physical world. Moving towards metaverses in aircraft maintenance, mixed reality (MR) creates enormous opportunities for the interaction with virtual airplanes (digital twin) t
Externí odkaz:
https://doaj.org/article/83e8f5dc5f2141538b2e61870a74522a
Publikováno v:
Journal of KIISE. 48:91-99
Autor:
Geun-Sik Jo, Aziz Siyaev
Publikováno v:
IEEE Access, Vol 9, Pp 154484-154499 (2021)
In the emerging world of metaverses, it is essential for speech communication systems to be aware of context to interact with virtual assets in the 3D world. This paper proposes the metaverse for aircraft maintenance training and education of Boeing-
Autor:
Geun-Sik Jo, Aziz Siyaev
Publikováno v:
KIISE Transactions on Computing Practices. 26:390-395
Publikováno v:
The Journal of Engineering. 2020:679-685
Most of the correlation filter (CF)-based trackers utilise the circulant structure of the training samples to learn discriminative filters to identify the tracked target, which has shown excellent performance in terms of both tracking accuracy and sp