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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Costa, B. F., Mateus, B. C., Pinto, H.  & Tabrizi, M. (2025). Looking back to 1850 in 2025: Historascan to digitize historical journals. In Albérico Travassos Rosário and Anna Carolina Boechat (Ed.), Impact of digitalization on communication dynamics. (pp. 393-420). Hershey, PA: IGI Global.
Exportar Referência (IEEE) 
B. M. Costa et al.,  "Looking back to 1850 in 2025: Historascan to digitize historical journals", in Impact of digitalization on communication dynamics, Albérico Travassos Rosário and Anna Carolina Boechat, Ed., Hershey, PA, IGI Global, 2025, pp. 393-420
Exportar BibTeX 
@incollection{costa2025_1770213432759,
	author = "Costa, B. F. and Mateus, B. C. and Pinto, H.  and Tabrizi, M.",
	title = "Looking back to 1850 in 2025: Historascan to digitize historical journals",
	chapter = "",
	booktitle = "Impact of digitalization on communication dynamics",
	year = "2025",
	volume = "",
	series = "",
	edition = "",
	pages = "393-393",
	publisher = "IGI Global",
	address = "Hershey, PA",
	url = "https://www.igi-global.com/gateway/book/336469"
}
Exportar RIS 
TY  - CHAP
TI  - Looking back to 1850 in 2025: Historascan to digitize historical journals
T2  - Impact of digitalization on communication dynamics
AU  - Costa, B. F.
AU  - Mateus, B. C.
AU  - Pinto, H. 
AU  - Tabrizi, M.
PY  - 2025
SP  - 393-420
DO  - 10.4018/979-8-3693-3579-6.ch015
CY  - Hershey, PA
UR  - https://www.igi-global.com/gateway/book/336469
AB  - This chapter analyses current technologies and the challenges involved in extracting and classifying articles and news headlines from historical journals, as well as converting images to text format. The work to develop a tool focused on digitising historical journals was carried out by a multidisciplinary team of experts in media studies, artificial intelligence, image processing, and cultural heritage preservation. The data used derives from two historic Portuguese journals, Diário de Notícias and Jornal de Notícias, which were created in the mid-19th century. This project is based on a mixture of heuristics, computer vision, pattern recognition, and other artificial intelligence and machine learning techniques. The main challenges included the variability in the design of historical journals, preserving the quality of images over time, and continuously improving image processing and OCR techniques to adapt to different styles and periods of newspapers.
ER  -