2016
DOI: 10.1086/689040
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Knowing Images

Abstract: brought the relationship between the history of art and the history of science to a new level of intimacy. These, and a host of other scholars, built on the legacies of Julius von Schlosser, Edgar Zilsel, Erwin Panofsky, and, more recently, Michael Baxandall and Svetlana Alpers, in order to probe the relationship between the pictorial arts and the mathematical disciplines, the worlds of collecting, wonder, and the study of nature. Objects that had previously been dismissed or overlooked were brought to the for… Show more

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Cited by 17 publications
(7 citation statements)
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“…While advancement in the domain of text recognition in historical documents is clear, the same cannot be said of the field of image recognition within these documents, which is often considered a pre-processing step during page layout analysis [ 3 ]. This is all the more remarkable if we consider that historical disciplines have become increasingly concerned with the relationship between text and visual elements, with an ever-increasing number of historical projects dedicated to this subject [ 12 , 13 , 14 ]. While page segmentation approaches, such as [ 7 ], return text/non-text masks, the latter of which often includes visual elements, this remains insufficient for any meaningful historical study, as such approaches often lack accurate visual element localization, as well as semantic classification of these elements.…”
Section: State Of the Artmentioning
confidence: 99%
See 1 more Smart Citation
“…While advancement in the domain of text recognition in historical documents is clear, the same cannot be said of the field of image recognition within these documents, which is often considered a pre-processing step during page layout analysis [ 3 ]. This is all the more remarkable if we consider that historical disciplines have become increasingly concerned with the relationship between text and visual elements, with an ever-increasing number of historical projects dedicated to this subject [ 12 , 13 , 14 ]. While page segmentation approaches, such as [ 7 ], return text/non-text masks, the latter of which often includes visual elements, this remains insufficient for any meaningful historical study, as such approaches often lack accurate visual element localization, as well as semantic classification of these elements.…”
Section: State Of the Artmentioning
confidence: 99%
“…Having demonstrated that, in the case of the S-VED, as well as numerous other datasets, YOLO performs better than the current state-of-the-art approaches (see Section 5.2 ) and driven by our belief in the necessity to generate datasets by extracting and studying visual elements in historical corpora [ 12 , 14 , 51 ], we provide a public web-service whose sole objective is to extract visual elements from historical corpora ( , accessed on 2 October 2022) without storing any user data. This web-service is built with the Flask framework and is running on a server of the Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG).…”
Section: Cor Deep : a Web-service For Detecting Vi...mentioning
confidence: 99%
“…13 For a discussion of the role of images in Renaissance natural history, see KUSUKAWA (2012) and EGMOND (2017a). A nice overview of recent literature on the subject is provided by Alexander Marr (2016). 14 Cooper noticed that the field trips were usually centred on the human world, that is the town and its surroundings which anchored the investigations of local floras.…”
Section: Through the Dark Forests And Deep Valleys: Observing Places mentioning
confidence: 99%
“…In recent times, in the context of Image Studies, imaging is cherished as 'epistemic agent' (Marr 2016), as 'cultural technique' (Bredekamp 2010;, as a tool for speculative model building (Daston & Galison 2010), rather than merely as illustrative device. Images are experienced as passages or portals or cues (Elsaesser 2013) for sensing and probing during processes of changing, while picturing.…”
Section: Introductionmentioning
confidence: 99%