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  1. 1.
    0497814 - ÚI 2019 RIV US eng C - Conference Paper (international conference)
    Pulc, Petr - Holeňa, Martin
    Hierarchical Motion Tracking Using Matching of Sparse Features.
    SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems. Los Alamitos: IEEE Computer Society CPS, 2018 - (Sanniti di Baja, G.; Gallo, L.; Yetongnon, K.; Dipanda, A.; Castrillón-Santana, M.; Chbeir, R.), s. 449-456. ISBN 978-1-5386-9385-8.
    [SITIS 2018. International Conference on Signal Image Technology & Internet Based Systems /14./. Las Palmas de Gran Canaria (ES), 26.11.2018-29.11.2018]
    R&D Projects: GA ČR(CZ) GA18-18080S
    Grant - others:ČVUT(CZ) SGS17/210/OHK3/3T/18
    Institutional support: RVO:67985807
    Keywords : motion tracking * image feature detection * image feature description * GPU * CUDA * ORB * Ultra HD
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Permanent Link: http://hdl.handle.net/11104/0290299
    FileDownloadSizeCommentaryVersionAccess
    0497814obs.pdf276.9 KBObsahPublisher’s postprintrequire
    0497814a.pdf11862.8 KBPublisher’s postprintrequire
     
     
  2. 2.
    0494104 - ÚI 2019 RIV DE eng C - Conference Paper (international conference)
    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]
    R&D Projects: GA ČR(CZ) GA18-18080S
    Institutional support: RVO:67985807
    Keywords : UHD video * Scene segmentation * Keypoint detector * Semisupervised classification * Cluster regularization * C-means
    OECD category: 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
    Permanent Link: http://hdl.handle.net/11104/0287344
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    0494104a.pdf61.1 MBPublisher’s postprintrequire
     
     
  3. 3.
    0494103 - ÚI 2019 RIV DE eng C - Conference Paper (international conference)
    Kožusznik, J. - Pulc, Petr - Holeňa, Martin
    Sentiment Analysis from Utterances.
    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. 92-99. 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]
    R&D Projects: GA ČR(CZ) GA18-18080S
    Institutional support: RVO:67985807
    Keywords : sentiment analysis * MPEG-7 * classification of utterances * Berlin database of emotional speech
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    http://ceur-ws.org/Vol-2203/92.pdf
    Permanent Link: http://hdl.handle.net/11104/0287341
    FileDownloadSizeCommentaryVersionAccess
    0494103a.pdf8712.3 KBPublisher’s postprintrequire
     
     
  4. 4.
    0493293 - ÚI 2019 RIV IE eng C - Conference Paper (international conference)
    Šabata, T. - Pulc, Petr - Holeňa, Martin
    Semi-supervised and Active Learning in Video Scene Classification from Statistical Features.
    ECML PKDD 2018: Workshop on Interactive Adaptive Learning. Proceedings. Dublin, 2018 - (Krempl, G.; Lemaire, V.; Kottke, D.; Calma, A.; Holzinger, A.; Polikar, R.; Sick, B.), s. 24-35
    [ECML PKDD 2018: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Dublin (IE), 10.09.2018-14.09.2018]
    R&D Projects: GA ČR(CZ) GA18-18080S
    Institutional support: RVO:67985807
    Keywords : video data * scene classification * semi-supervised learning * active learning * colour statistics * feedforward neural networks
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Permanent Link: http://hdl.handle.net/11104/0286680
    FileDownloadSizeCommentaryVersionAccess
    a0493293.pdf13602.4 KBSborník dostupný online.Publisher’s postprintopen-access
     
     


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