Academic Bibliography
https://biblio.ugent.be/
Ghent University Academic Bibliography2000-01-01T00:00+00:001monthlyTemporal Layer Injection for Fast Bitrate Ladder Creation in Video Live Streaming
https://biblio.ugent.be/publication/01HSX6F2A5K48TPJCCWE1BDD31
Mareen, HannesHaems, CasperWauters, TimDe Turck, FilipLambert, PeterVan Wallendael, Glenn2023application/pdfhttps://biblio.ugent.be/publication/01HSX6F2A5K48TPJCCWE1BDD31http://hdl.handle.net/1854/LU-01HSX6F2A5K48TPJCCWE1BDD31http://doi.org/10.1109/ism59092.2023.00012https://biblio.ugent.be/publication/01HSX6F2A5K48TPJCCWE1BDD31/file/01HSX6GZ4RGRREZ2WBFF9A890FundIEEENo license (in copyright)info:eu-repo/semantics/restrictedAccess2023 IEEE International Symposium on Multimedia (ISM)ISBN: 979-8-3503-9576-1Temporal Layer Injection for Fast Bitrate Ladder Creation in Video Live Streamingconferenceinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionBlind deep-learning-based image watermarking robust against geometric transformations
https://biblio.ugent.be/publication/01HRESBXED003D2NHEAW9DN2FQ
Mareen, HannesAntchougov, LucasVan Wallendael, GlennLambert, Peter2024Digital watermarking enables protection against copyright infringement of images. Although existing methods embed watermarks imperceptibly and demonstrate robustness against attacks, they typically lack resilience against geometric transformations. Therefore, this paper proposes a new watermarking method that is robust against geometric attacks. The proposed method is based on the existing HiDDeN architecture that uses deep learning for watermark encoding and decoding. We add new noise layers to this architecture, namely for a differentiable JPEG estimation, rotation, rescaling, translation, shearing and mirroring. We demonstrate that our method outperforms the state of the art when it comes to geometric robustness. In conclusion, the proposed method can be used to protect images when viewed on consumers’ devices.application/pdfhttps://biblio.ugent.be/publication/01HRESBXED003D2NHEAW9DN2FQhttp://hdl.handle.net/1854/LU-01HRESBXED003D2NHEAW9DN2FQhttp://doi.org/10.1109/icce59016.2024.10444317https://biblio.ugent.be/publication/01HRESBXED003D2NHEAW9DN2FQ/file/01HRESNV8Q4SCQ24DTPBVCTPRAengIEEENo license (in copyright)info:eu-repo/semantics/openAccess2024 IEEE International Conference on Consumer Electronics (ICCE)ISSN: 2158-4001ISBN: 9798350324136Technology and EngineeringBlind deep-learning-based image watermarking robust against geometric transformationsconferenceinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionImage Forgery Detection Using Comprint: A Comprehensive Study
https://biblio.ugent.be/publication/01HRC4TRWG5S7SMRDP22P97X6X
Mareen, HannesLambert, PeterVan Wallendael, Glenn2023application/pdfhttps://biblio.ugent.be/publication/01HRC4TRWG5S7SMRDP22P97X6Xhttp://hdl.handle.net/1854/LU-01HRC4TRWG5S7SMRDP22P97X6Xhttp://doi.org/10.1007/978-3-031-49803-9_2https://biblio.ugent.be/publication/01HRC4TRWG5S7SMRDP22P97X6X/file/01HRC4X2PCTEYER2Q1TN8XNAMSundSpringer Nature SwitzerlandNo license (in copyright)info:eu-repo/semantics/restrictedAccessAdversarial Multimedia ForensicsISSN: 1568-2633ISSN: 2512-2193ISBN: 9783031498022ISBN: 9783031498039Image Forgery Detection Using Comprint: A Comprehensive StudybookChapterinfo:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersion