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0494104 - ÚI 2019 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Keruľ-Kmec, O. - Pulc, Petr - Holeňa, Martin
Semisupervised Segmentation of UHD Video.
ITAT 2018: Information Technologies – Applications and Theory. Proceedings of the 18th conference ITAT 2018. Aachen: Technical University & CreateSpace Independent Publishing Platform, 2018 - (Krajči, S.), s. 100-107. CEUR Workshop Proceedings, V-2203. ISSN 1613-0073.
[ITAT 2018. Conference on Information Technologies – Applications and Theory /18./. Plejsy (SK), 21.09.2018-25.09.2018]
Grant CEP: GA ČR(CZ) GA18-18080S
Institucionální podpora: RVO:67985807
Klíčová slova: UHD video * Scene segmentation * Keypoint detector * Semisupervised classification * Cluster regularization * C-means
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2203/100.pdf
Trvalý link: http://hdl.handle.net/11104/0287344
Keruľ-Kmec, O. - Pulc, Petr - Holeňa, Martin
Semisupervised Segmentation of UHD Video.
ITAT 2018: Information Technologies – Applications and Theory. Proceedings of the 18th conference ITAT 2018. Aachen: Technical University & CreateSpace Independent Publishing Platform, 2018 - (Krajči, S.), s. 100-107. CEUR Workshop Proceedings, V-2203. ISSN 1613-0073.
[ITAT 2018. Conference on Information Technologies – Applications and Theory /18./. Plejsy (SK), 21.09.2018-25.09.2018]
Grant CEP: GA ČR(CZ) GA18-18080S
Institucionální podpora: RVO:67985807
Klíčová slova: UHD video * Scene segmentation * Keypoint detector * Semisupervised classification * Cluster regularization * C-means
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2203/100.pdf
Trvalý link: http://hdl.handle.net/11104/0287344