Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Rockson Agyeman"'
Autor:
Rockson Agyeman, Bernhard Rinner
Publikováno v:
IEEE Access, Vol 12, Pp 172125-172148 (2024)
Text-based person re-identification (re-ID) is an emerging research domain in multi-camera surveillance systems. It involves identifying individuals across different camera views using textual descriptions as queries. Although text-based person re-ID
Externí odkaz:
https://doaj.org/article/165e5fa0476b4454bd2783581d2fa95c
Publikováno v:
IEEE Access, Vol 9, Pp 70797-70805 (2021)
Image data contain spatial information only, thus making two-dimensional (2D) Convolutional Neural Networks (CNN) ideal for solving image classification problems. On the other hand, video data contain both spatial and temporal information that must b
Externí odkaz:
https://doaj.org/article/288509350c434d97ab36c85a8ccb669b
Publikováno v:
Sensors, Vol 20, Iss 6, p 1702 (2020)
This paper proposes a novel method for sports video scene classification with the particular intention of video summarization. Creating and publishing a shorter version of the video is more interesting than a full version due to instant entertainment
Externí odkaz:
https://doaj.org/article/5ac1cbf513ca47d9b6798e313dfd22e6
Publikováno v:
Biocybernetics and Biomedical Engineering. 42:285-294
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c97539b24404a9bc5cf6d03981f97bd5
https://doi.org/10.1016/j.bbe.2022.01.002
https://doi.org/10.1016/j.bbe.2022.01.002
Publikováno v:
IEEE Access, Vol 9, Pp 70797-70805 (2021)
Image data contain spatial information only, thus making two-dimensional (2D) Convolutional Neural Networks (CNN) ideal for solving image classification problems. On the other hand, video data contain both spatial and temporal information that must b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68bb67b105e8cdf68c5f505fdaa4dcf7
https://doi.org/10.1109/access.2021.3078295
https://doi.org/10.1109/access.2021.3078295
Autor:
Rockson Agyeman, Bernhard Rinner
Publikováno v:
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d88d82ddea1da3b45fbe1d9cd8f88e98
https://doi.org/10.1109/percomworkshops53856.2022.9767290
https://doi.org/10.1109/percomworkshops53856.2022.9767290
Publikováno v:
Sensors, Vol 20, Iss 6, p 1702 (2020)
Sensors
Volume 20
Issue 6
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 6
Sensors (Basel, Switzerland)
This paper proposes a novel method for sports video scene classification with the particular intention of video summarization. Creating and publishing a shorter version of the video is more interesting than a full version due to instant entertainment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4735d536db2092c462d576c4cdc6f6a
https://www.mdpi.com/1424-8220/20/6/1702
https://www.mdpi.com/1424-8220/20/6/1702
Publikováno v:
MIPR
This paper presents a deep learning approach to summarizing long soccer videos by leveraging the spatiotemporal learning capability of three-dimensional Convolutional Neural Network (3D-CNN) and Long Short-Term Memory (LSTM) – Recurrent Neural Netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8d936e54e7b6837be4d29ac33d0b335
https://doi.org/10.1109/mipr.2019.00055
https://doi.org/10.1109/mipr.2019.00055
The development of the agricultural sector in Ghana has been reliant on the use of irrigation systems to ensure food security. However, the manual operation of these systems has not facilitated their maximum efficiency due to human limitations. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f8264219f187334aadc3c5051d18d0a
