New Techniques for the Digitization of Art Historical Photographic Archives - the Case of the Cini Foundation in Venice

Séguin, Benoît; Costiner, Lia; Lenardo, Isabella di; Kaplan, Frédé́ric

doi:10.2352/issn.2168-3204.2018.1.0.2

Cited by 8 publications

(5 citation statements)

References 4 publications

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“…Digitizing old or existing photograph offers efficiency both in time and cost as well as conservatory remark since the old state of statues is visible. It is also preserving the state of fragile photography as an important archive (Seguin et al, 2018). Furthermore, both digitizing object and photograph require proper technology and software.…”

Section: The Expenditurementioning

confidence: 99%

Online Digital Photography of Ancient Indonesian Statues for Research Purposes

Sholah

2023

JNS

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Selama masa pandemic Covid-19, penghentian kegiatan dan penutupan fasilitas telah membatasi kunjungan ke museum dan situs arkeologi. Keadaan ini sangat berdampak pada peneliti yang harus mengobservasi objek kajiannya, misalnya patung. Sebagai alternatif, foto patung yang disebarluaskan secara daring dapat menjadi solusi masalah ini. Dalam tulisan ini akan dibahas tiga hal terkait hal ini. Pertama, tinjauan terhadap kajian patung kuno di masa lalu yang menggunakan foto sebagai dasar kajian menunjukkan cara itu mampu menyediakan data dimensi bentuk yang amat berguna dalam analisis gaya dan ikonografi. Kedua, kini beberapa museum dan lembaga telah menyebarluaskan katalog digital fotografi patung Indonesia kuno, meskipun kebijakan yang diterapkan beragam.Terakhir, untuk menghadapi berbagai isu digitalisasi sumber kajian berupa fotografi perlu dilakukan kerjasama multidisiplin. === During the pandemic, lockdown and closure of facilities limited access to museums and archaeological sites. This condition heavily impacted researcher who require observation for analysis on archaeological object, such as statues. As alternative, photography of statues that is distributed to online platform will certainly help to solve this problem. In this regard, three main topics are presented in this paper. Firstly, a review of studies conducted in the past on ancient Indonesian statues using photography as the main source will be presented showing that photography is able to present a formal dimension of sculpture that is useful for stylistic and iconographic studies. Secondly, an overview of current conditions revealing that a number of museums and institutions have provided digital catalogs containing photographs of ancient Indonesian statues, but they have different policies. Lastly, there are some issues with digitizing photographic resources that require multidisciplinary collaboration to solve.

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Section: The Expenditurementioning

confidence: 99%

Online Digital Photography of Ancient Indonesian Statues for Research Purposes

Sholah

2023

JNS

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“…The remaining percentage corresponds to a different use of the author field. In addition to trivial OCR errors, there appear many century mentions i.e., "16th century", multiple attributions, and many "Anonymous" which make a realignment to a known identity impossible [14].…”

Section: Improving Curators' Knowledge On the Collection Aligning Ent...mentioning

confidence: 99%

The Replica Project: Co-Designing a Discovery Engine for Digital Art History

Lenardo

2022

MTI

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This article explains how the Replica project is a particular case of different professionals coming together to achieve the digitization of a historical photographic archive, intersecting complementary knowledge specific to normally unconnected communities. In particular the community of Art History researchers, brought together here in relation to their common methodologies in the practice of visual pattern research, became protagonists in the construction of a specific tool, the Morphograph, to navigate through the archive’s photos. A specific research problem, the recognition of visual patterns migrating from one work to another, became the key to developing a new technology initially intended for a specific community of users, but with such a generic character in its approach that it could easily be made available to other uninformed users as learning by doing tools. The Morphograph tool also made it possible to demonstrate how, within a community, the partial expertise of individuality needs to be related to each other and benefits enormously from the knowledge densification mechanism made possible by the sharing. The digital context easily makes it possible to create tools that are specific in terms of content but generic in form that can be communicated and shared with even diverse and uninformed communities.

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“…HPE is central to understanding the visual nar- ration and body movements of the characters depicted in these paintings and the recent rapid digitisation of art collections has created an opportunity to use HPE as a tool to digitally examine such artworks. These digital copies are usually either photographic reproductions [30] or scans of existing archives [39]. In addition to the preservation of cultural heritage, these digital collections allow remote access of the invaluable artistic data to the general public.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning

Madhu¹,

Villar-Corrales²,

Kosti³

et al. 2020

Preprint

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Human pose estimation (HPE) is a central part of understanding the visual narration and body movements of characters depicted in artwork collections, such as Greek vase paintings. Unfortunately, existing HPE methods do not generalise well across domains resulting in poorly recognized poses. Therefore, we propose a two step approach:(1) adapting a dataset of natural images of known person and pose annotations to the style of Greek vase paintings by means of image style-transfer. We introduce a perceptuallygrounded style transfer training to enforce perceptual consistency. Then, we fine-tune the base model with this newly created dataset. We show that using style-transfer learning significantly improves the SOTA performance on unlabelled data by more than 6 % mean average precision (mAP) as well as mean average recall (mAR). ( 2) To improve the already strong results further, we created a small dataset (ClassArch) consisting of ancient Greek vase paintings from the 6-5th century BCE with person and pose annotations. We show that fine-tuning on this data with a style-transferred model improves the performance further. In a thorough ablation study, we give a targeted analysis of the influence of style intensities, revealing that the model learns generic domain styles. Additionally, we provide a pose-based image retrieval to demonstrate the effectiveness of our method.

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New Techniques for the Digitization of Art Historical Photographic Archives - the Case of the Cini Foundation in Venice

Cited by 8 publications

References 4 publications

Online Digital Photography of Ancient Indonesian Statues for Research Purposes

Online Digital Photography of Ancient Indonesian Statues for Research Purposes

The Replica Project: Co-Designing a Discovery Engine for Digital Art History

Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning

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