Seeing Smell: Sourcing Olfactory Imagery Using Artificial Intelligence
How can artificial intelligence help to “see” smells in works of art? This article discusses the ways in which the Horizon 2020 Odeuropa project uses computer vision to search for olfactory imagery in digital heritage collections. It provides a literature review of the latest approaches to researchi...
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| Xuất bản năm: | URI:https://journals.openedition.org/aes, |
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| Những tác giả chính: | , , , , , |
| Định dạng: | Article ou chapitre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
Arts et Savoirs
2023
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| Những chủ đề: | |
| Truy cập trực tuyến: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |
| Tóm tắt: | How can artificial intelligence help to “see” smells in works of art? This article discusses the ways in which the Horizon 2020 Odeuropa project uses computer vision to search for olfactory imagery in digital heritage collections. It provides a literature review of the latest approaches to researching smell in art, and outlines the methodology for mining digital collections. It also raises questions about what it means to source smell in digital archives, the challenges encountered when working with the technology, and its possibilities. It concludes with a case study illustrating the potential of such an approach, where computer vision was used to find perfumed gloves in works of art, resulting in an olfactory guided tour of Museum Ulm. |
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