Imprinto: Enhancing Infrared Inkjet Watermarking for Human and Machine Perception
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| Názov: | Imprinto: Enhancing Infrared Inkjet Watermarking for Human and Machine Perception |
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| Autori: | Martin Feick, Xuxin Tang, Raul Garcia-Martin, Alexandru Luchianov, Roderick Wei Xiao Huang, Chang Xiao, Alexa Siu, Mustafa Doga Dogan |
| Zdroj: | e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid Universidad Carlos III de Madrid (UC3M) |
| Publication Status: | Preprint |
| Informácie o vydavateľovi: | ACM, 2025. |
| Rok vydania: | 2025 |
| Predmety: | ddc:004, FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), DATA processing & computer science, Computer Science - Human-Computer Interaction, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Emerging Technologies, Augmented reality, Infraredimaging, Watermarking, Human-Computer Interaction (cs.HC), Emerging Technologies (cs.ET), Digital fabrication, Electrónica, Mixed reality |
| Popis: | Hybrid paper interfaces leverage augmented reality to combine the desired tangibility of paper documents with the affordances of interactive digital media. Typically, virtual content can be embedded through direct links (e.g., QR codes); however, this impacts the aesthetics of the paper print and limits the available visual content space. To address this problem, we present Imprinto, an infrared inkjet watermarking technique that allows for invisible content embeddings only by using off-the-shelf IR inks and a camera. Imprinto was established through a psychophysical experiment, studying how much IR ink can be used while remaining invisible to users regardless of background color. We demonstrate that we can detect invisible IR content through our machine learning pipeline, and we developed an authoring tool that optimizes the amount of IR ink on the color regions of an input document for machine and human detectability. Finally, we demonstrate several applications, including augmenting paper documents and objects. 18 pages, 13 figures. To appear in the Proceedings of the 2025 ACM CHI Conference on Human Factors in Computing Systems. https://imprinto.github.io |
| Druh dokumentu: | Article Conference object |
| Popis súboru: | application/pdf |
| DOI: | 10.1145/3706598.3713286 |
| DOI: | 10.48550/arxiv.2502.17089 |
| DOI: | 10.5445/ir/1000181336 |
| Prístupová URL adresa: | http://arxiv.org/abs/2502.17089 https://hdl.handle.net/10016/47781 https://publikationen.bibliothek.kit.edu/1000181336 https://publikationen.bibliothek.kit.edu/1000181336/159481198 https://doi.org/10.5445/IR/1000181336 |
| Rights: | CC BY CC BY NC SA |
| Prístupové číslo: | edsair.doi.dedup.....733ee586195bf5a1cc1f3feb9916c9ed |
| Databáza: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstrakt: | Hybrid paper interfaces leverage augmented reality to combine the desired tangibility of paper documents with the affordances of interactive digital media. Typically, virtual content can be embedded through direct links (e.g., QR codes); however, this impacts the aesthetics of the paper print and limits the available visual content space. To address this problem, we present Imprinto, an infrared inkjet watermarking technique that allows for invisible content embeddings only by using off-the-shelf IR inks and a camera. Imprinto was established through a psychophysical experiment, studying how much IR ink can be used while remaining invisible to users regardless of background color. We demonstrate that we can detect invisible IR content through our machine learning pipeline, and we developed an authoring tool that optimizes the amount of IR ink on the color regions of an input document for machine and human detectability. Finally, we demonstrate several applications, including augmenting paper documents and objects.<br />18 pages, 13 figures. To appear in the Proceedings of the 2025 ACM CHI Conference on Human Factors in Computing Systems. https://imprinto.github.io |
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| DOI: | 10.1145/3706598.3713286 |