Suchergebnisse - "Camera recognition"

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  1. 1

    MULTIMEDIA PEMBELAJARAN INTERAKTIF AUGMENTED REALITY PENGENALAN KAMERA DAN TEKNIK FOTOGRAFI

    Autoren: Herniawan, Muhamad Vivianti, Vivianti

    Quelle: Jurnal Edukasi Elektro; Vol. 6 No. 1 (2022): Jurnal Edukasi Elektro, Volume 6, Nomor 1, 2022; 49-57 ; 2548-8260 ; 2548-8252 ; 10.21831/jee.v6i1

    Schlagwörter: Augmented Reality, Camera Recognition, Effectiveness, Multimedia Learning

    Dateibeschreibung: application/pdf

    Relation: https://journal.uny.ac.id/index.php/jee/article/view/45591/17679; https://journal.uny.ac.id/index.php/jee/article/view/45591

    Verfügbarkeit: https://journal.uny.ac.id/index.php/jee/article/view/45591
    https://doi.org/10.21831/jee.v6i1.45591

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  2. 2

    MODELS OF OBJECT DETECTION SYSTEM IN VIDEO STREAMS ON A MOBILE DEVICE

    Autoren: Xamidov, E.X. Xodjimatov, J.M.

    Schlagwörter: digital camera, recognition errors, resolution, VOD, ImageNET, TransVOD

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  3. 3

    Automation of the Road Gate Operations Process at the Container Terminal—A Case Study of DCT Gdańsk SA

    Autoren: Karol Moszyk Mariusz Deja Michal Dobrzynski

    Quelle: Sustainability ; Volume 13 ; Issue 11 ; Pages: 6291

    Schlagwörter: container terminal, optical camera recognition, OCR, gate automation, process automation, container handling

    Geographisches Schlagwort: agris

    Dateibeschreibung: application/pdf

    Relation: Sustainable Transportation; https://dx.doi.org/10.3390/su13116291

    Verfügbarkeit: https://doi.org/10.3390/su13116291

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  4. 4

    Analysis of traffic safety for cyclists: the automatic detection of critical traffic situations for cyclists

    Autoren: Detzer, Sandra Junghans, Marek Kozempel, Karsten et al.

    Quelle: WIT Transactions on The Built Environment. 1:491-502

    Schlagwörter: traffic monitoring, 05 social sciences, camera recognition system, 16. Peace & justice, bicycle traffic, 12. Responsible consumption, 3. Good health, traffic safety, 5. Gender equality, 13. Climate action, 8. Economic growth, 11. Sustainability, 0502 economics and business, trajectories, situation detection

    Zugangs-URL: http://www.witpress.com/Secure/elibrary/papers/UT14/UT14041FU1.pdf
    https://www.witpress.com/Secure/elibrary/papers/UT14/UT14041FU1.pdf
    https://trid.trb.org/view/1315637
    https://www.witpress.com/elibrary/wit-transactions-on-the-built-environment/138/26161
    https://elib.dlr.de/89381/
    https://elib.dlr.de/89381/

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  5. 5

    Oscar — Using Byte Pairs to Find File Type and Camera Make of Data Fragments

    Autoren: Karresand, Martin Shahmehri, Nahid

    Quelle: EC2ND 2006. :85-94

    Schlagwörter: Camera recognition, computer forensics, data recovery, file type identification, 2-gram frequency distribution, TECHNOLOGY, Information technology, Computer science, TEKNIKVETENSKAP, Informationsteknik, Datavetenskap

    Dateibeschreibung: print

    Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-35609

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  6. 6

    Towards a more reliable and reproducible protocol of source camera recognition

    Autoren: Berthet, Alexandre Galdi, Chiara Dugelay, Jean-Luc

    Weitere Verfasser: Berthet, Alexandre Galdi, Chiara Dugelay, Jean-Luc

    Quelle: ICPRAM 2022, 11th Intertational Conference on Pattern Recognition Applications and Methods, 3-5 February 2022, Online Event

    Schlagwörter: Digital Image Forensics, Camera Recognition, Verification Protocol, Deep Learning, Convolutional Neural Network, Siamese Neural Network, Dresden Image Database, SOCRatES

    Relation: https://www.eurecom.fr/publication/6779

    Verfügbarkeit: https://www.eurecom.fr/publication/6779

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  7. 7

    Deep learning methods and advancements in digital image forensics

    Autoren: Berthet, Alexandre STAR, ABES

    Weitere Verfasser: Berthet, Alexandre STAR, ABES

    Schlagwörter: Contre-Criminalistique, Camera recognition, Protocoles d'Évaluation, Criminalistique des Images, [INFO.INFO-IA] Computer Science [cs]/Computer Aided Engineering, AI-based Compression, Evaluation Protocols, Counter-Forensics, AI-based compression, Digital image forensics, Camera Recognition, Reconnaissance de Caméras, Digital Image Forensics, Compression basée sur l'Intelligence Artificielle

    Dateibeschreibung: application/pdf

    Zugangs-URL: https://theses.hal.science/tel-03859790v1

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  8. 8

    Deep learning methods and advancements in digital image forensics ; Méthodes et avancement d’apprentissage profond en criminalistique des images

    Autoren: Berthet, Alexandre Eurecom Sophia Antipolis Sorbonne Université et al.

    Weitere Verfasser: Berthet, Alexandre Eurecom Sophia Antipolis Sorbonne Université et al.

    Quelle: https://theses.hal.science/tel-03859790 ; Computer Aided Engineering. Sorbonne Université, 2022. English. ⟨NNT : 2022SORUS252⟩.

    Schlagwörter: AI-based compression, Camera recognition, Digital image forensics, Contre-Criminalistique, Protocoles d'Évaluation, Compression basée sur l'Intelligence Artificielle, Reconnaissance de Caméras, Criminalistique des Images, [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering

    Relation: NNT: 2022SORUS252

    Verfügbarkeit: https://theses.hal.science/tel-03859790
    https://theses.hal.science/tel-03859790v1/document
    https://theses.hal.science/tel-03859790v1/file/BERTHET_Alexandre_these_2022.pdf

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