Zobrazeno 1 - 3
of 3
pro vyhledávání: '"L. F. Kazi Tani"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W16, Pp 135-141 (2019)
In this work, we propose an efficient way of web video annotation in soccer domain. To achieve this, it is necessary to enjoy different architectures of deep learning. We aim at realising a system of annotation able to recognise several events from i
Externí odkaz:
https://doaj.org/article/c1882f9f5aa84541a890918b83e2e325
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W16, Pp 135-141 (2019)
In this work, we propose an efficient way of web video annotation in soccer domain. To achieve this, it is necessary to enjoy different architectures of deep learning. We aim at realising a system of annotation able to recognise several events from i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e682d781a5942be1771a06df05b2bf0a
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W16/135/2019/isprs-archives-XLII-2-W16-135-2019.pdf
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W16/135/2019/isprs-archives-XLII-2-W16-135-2019.pdf
Publikováno v:
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 9/18/2019, Vol. XLII-2/W16, p135-141, 7p