A web platform for the consultation of spatialized and semantically enriched iconographic sources on cultural heritage buildings

Stefani, Chiara; Busayarat, Chawee; Lombardo, Julie; Luca, Livio de; Véron, Philippe

doi:10.1145/2499931.2499934

Cited by 14 publications

(7 citation statements)

References 18 publications

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“…Another significant spatial information source comes from the strong connection between 2D and 3D content we highlighted in our data model. Spatial information can be transferred from one medium to the other or presented simultaneously in immersive hybrid viewers or web platforms (Stefani et al, 2013;Paiz-Reyes, 2019). Figure 4 illustrates a projection of a spatially oriented picture onto a point cloud of the Notre-Dame cathedral and visualised in a 3D viewer.…”

Section: Spacementioning

confidence: 99%

Automatic Structuring of Photographic Collections for Spatio-Temporal Monitoring of Restoration Sites: Problem Statement and Challenges

Willot

Vodislav

Luca

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Over the last decade, a large number of digital documentation projects have demonstrated the potential of image-based modelling of heritage objects in the context of documentation, conservation, and restoration. The inclusion of these emerging methods in the daily monitoring of the activities of a heritage restoration site (context in which hundreds of photographs per day can be acquired by multiple actors, in accordance with several observation and analysis needs) raises new questions at the intersection of big data management, analysis, semantic enrichment, and more generally automatic structuring of this data. In this article we propose a data model developed around these questions and identify the main challenges to overcome the problem of structuring massive collections of photographs through a review of the available literature on similarity metrics used to organise the pictures based on their content or metadata. This work is realized in the context of the restoration site of the Notre-Dame de Paris cathedral that will be used as the main case study.

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Section: Spacementioning

confidence: 99%

Automatic Structuring of Photographic Collections for Spatio-Temporal Monitoring of Restoration Sites: Problem Statement and Challenges

Willot

Vodislav

Luca

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…In the NUBES project, for example, 3D models are generated from 2D annotated images. In particular, the NUBES web platform [84] allows the displaying and cross-referencing of 2D mapping data on the 3D model in real time, by means of structured 2D layer, such as annotations concerning stone degradation, dating and material. Apollonio et al [85] used 3D models and data mapping on 3D surfaces in the context of the restoration documentation of Neptune's Fountain in Bologna.…”

Section: Segmentation and Classification In Cultural Heritagementioning

confidence: 99%

Classification of 3D Digital Heritage

2019

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In recent years, the use of 3D models in cultural and archaeological heritage for documentation and dissemination purposes is increasing. The association of heterogeneous information to 3D data by means of automated segmentation and classification methods can help to characterize, describe and better interpret the object under study. Indeed, the high complexity of 3D data along with the large diversity of heritage assets themselves have constituted segmentation and classification methods as currently active research topics. Although machine learning methods brought great progress in this respect, few advances have been developed in relation to cultural heritage 3D data. Starting from the existing literature, this paper aims to develop, explore and validate reliable and efficient automated procedures for the classification of 3D data (point clouds or polygonal mesh models) of heritage scenarios. In more detail, the proposed solution works on 2D data (“texture-based” approach) or directly on the 3D data (“geometry-based approach) with supervised or unsupervised machine learning strategies. The method was applied and validated on four different archaeological/architectural scenarios. Experimental results demonstrate that the proposed approach is reliable and replicable and it is effective for restoration and documentation purposes, providing metric information e.g. of damaged areas to be restored.

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“…Digital formats could be used in order to enable the emergence and inclusion, alongside the resources themselves, of the heuristic as well as hermeneutic foundations that govern the constitution of these resources (Baillot, 2018). Digital technologies introduce the possibility of interchangeable media able to offer multiple nodes of access to a given term or object, and enable a multidimensional approach to knowledge on several levels (Stefani, 2013). On the one hand, therefore, we have the theme/problem connected to visual communication through digital tools/technologies and on the other, the theme/problem connected to the formalization of the knowledge elaborated/produced through the digital tools/technologies used in order to reprocess data (analogue or digital) to produce new digital artefacts.…”

Section: Challenges: Formalizing Semantic Knowledge and New Forms Of mentioning

confidence: 99%

Digital Cultural Heritage Meets Digital Humanities

Münster

Apollonio

Bell³

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> Digital Cultural Heritage and Digital Humanities are, historically seen, in focus of different communities as well as approaching different research topics and - from an organizational point of view - departments. However, are they that different? The idea of this joint article involving digital humanists and heritage researchers is to examine communities, concepts and research applications as well as shared challenges. Beyond a collection of problem-centred essays this is intended to initiate a fruitful discussion about commonalities and differences between both scholarly fields as well as to assess to which extent they are two sides of the same medal.</p>

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A web platform for the consultation of spatialized and semantically enriched iconographic sources on cultural heritage buildings

Cited by 14 publications

References 18 publications

Automatic Structuring of Photographic Collections for Spatio-Temporal Monitoring of Restoration Sites: Problem Statement and Challenges

Automatic Structuring of Photographic Collections for Spatio-Temporal Monitoring of Restoration Sites: Problem Statement and Challenges

Classification of 3D Digital Heritage

Digital Cultural Heritage Meets Digital Humanities

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