Schlagwort-Archive: Digital Cultural heritage

Project RetroDig is launched at Heidelberg University

As a case study in the field of digital cultural heritage the project RetroDig develops infrastructure and workflows for retro-digitalisation and academic analysis of paper-based documents. The Project RetroDig concentrates on retro-digitalisation and academic analysis of analog records focused on preserving information. Retro-digitalisation also signifies standardised   digitalisation of analog media and transformation of information to machine-readable data for large scale computation and analysis.

The present and so far unpublished documentation of the Roman fort excavation in Heidelberg-Neuenheim in the 1970s were reprocessed. Data from area of interest was all analog so far. Due to the course of the excavations, where researched records are mostly irrecoverable going to be destroyed, only the documentation of records is the only way for ongoing studies. Production methods, storage conditions, environmental influences and also the simple touching of paper documents are reducing the span of life and threaten the recorded data upon it.

Ziziphus - Screenshot

Fig. 1: Retro-digitalisation of the excavation diary; editors draft for annotation of text and image section with person name markings; source: excavation dairy “Heukemes” of the excavation “Kastellweg 1975” Kurpfälzische Museum Stadt Heidelberg ©.

The goal of Digital Cultural Heritage project RetroDig is the extraction of a best possible digital copy. Thereby the analysis and extraction of the contained information shall be proceeded at very little effort. The information will be stored as future secured interoperable data for prospective usage in the field of Digital Humanities. In order to do so, already developed digital tools will be used, modified and provided as a cheap and lasting open-source solution (see figure above). The results of the case study can be used disciplinary in research and teaching – the developed infrastructure, however, can also be used interdisciplinary in other academic fields.

Within the project work flow, the first task was scanning the archive inventory containing hundreds of separate drawn excavation plans and handwritten field notes as well as revised and verified photographs. After that, standardised scanning of archival footage with calibrated settings and meta-data enrichment of scanned data in the Tamboti Ecosystem began. The archival footage is now to be fully digitalised by transcribing the scanned handwritten notes. The digitalised data is based upon the Extensible Markup Language-Standard (XML), which is the base for further textual data analysis (see figure below). In the last step, all data will be added to the Tamboti Ecosytem, where they will be permanently available for further evaluation, presentation and publication of the results of the excavations. RetroDig is a cooperation of the Junior Research Group Digital Humanities and Digital Cultural Heritage, and the Heidelberg Research Architecture (HRA) at the Cluster of Excellence Asia and Europe in a Global Context, in joint collaboration with the Kurpfälzische Museum of the City of Heidelberg.

xml-screenshot

Fig. 2: XML file from transcribed text out of the scanned handwritten notes, JRG DH/ HRA ©.

Within our next steps, we are developing a digital edition of the so far unpublished excavations of the Roman fort in Heidelberg-Neuenheim. And we co-operate with the project HyperImage [7] in order to generate powerful image-text-multimedia annotations within exhibitions in a context of museal presentations with interactive applications via touch screens.

[1] https://heidelberger-forum-edition.de/retrodigitalisierung

[2] https://de.wikipedia.org/wiki/Heidelberg_in_r%C3%B6mischer_Zeit

[3] http://kjc-sv016.kjc.uni-heidelberg.de:8080/exist/apps/tamboti/modules/search/index.html

[4] http://www.asia-europe.uni-heidelberg.de/en/research/jrg/jrg-digital-humanities.html

[5] http://www.asia-europe.uni-heidelberg.de/en/hra-portal.html

[6] http://www.museum-heidelberg.de/pb/,Lde/Startseite/Museum/Forschung.html

[7 ]http://hyperimage.ws/

LiDAR based semi-automatic pattern recognition within an archaeological landscape

A PhD-project in association with Dr. Armin Volkmann (Junior Research Group Digital Humanities and Digital Cultural Heritage at the Interdisciplinary Center for Scientific Computing and Cluster of Excellence Asia & Europe in Global Context), Prof. Dr. Alexander Zipf and Jun.-Prof. Bernhard Höfle (Geoinformatics), Prof. Dr. Diamantis Panagiotopoulos (Institute of Archaeology), and funded by the HGS MathComp Graduate School at Heidelberg University. In further collaboration with Bayerisches Landesamt für Vermessung (BLV) und Denkmalpflege (BLD), and Karlsruhe Institut für Technologie (KIT).

The project is focused on adapting and creating semi-automatic procedures for handling and processing LiDAR data within cultural heritage monument detection and large scale cultural heritage management. Particular emphasis is on the implementation of pattern recognition algorithms for semi-automatic detection within 3D, 2½D, and 2D LiDAR derived data.

The utilization of LiDAR provides several novel approaches for locating and monitoring cultural heritage, especially in areas of logistical complications, e.g. forest, rough terrain, and remote areas (cf. figure 1 & 2). In order to cope with the huge amount of generated 3D LiDAR point clouds, systematic and semi-automated procedures needs to be defined to control and handle these accumulated amounts of otherwise unrestrained information.

In doing so, the effort of this project will be focused on pattern recognition algorithms to define quantitative methods of handling and processing 3D LiDAR data and subsequent 2D raster by implementing standardised and state of the art systematic and semi-automated approaches for cultural heritage detection and management.

Further, a research data gateway will be created within a WebGIS for extended parameterization of 2D and 3D LiDAR data with added databases of archaeological site information.

Figure 1.  Multiple layers on reality. Combining laser scanning for optimal scaling possibilities together with other sources, often reveal new features yet unknown. Figure 1 displays airborne and terrestrial laser scanning combined with street map at the Königstuhl, Heidelberg. New features detected; a house, two cellar structures, and several pathway and terrace systems dating back to the 16th and 17th century. Source: ALS Landesamt für Geoinformation und Landentwicklung Baden-Württemberg. TLS: Höfle, Pfeiffer and Raun. Map: OpenStreetMap.

Figure 1.
Multiple layers on reality. Combining laser scanning for optimal scaling possibilities together with other sources, often reveal new features yet unknown. Figure 1 displays airborne and terrestrial laser scanning combined with street map at the Königstuhl, Heidelberg. New features detected; a house, two cellar structures, and several pathway and terrace systems dating back to the 16th and 17th century. Source: ALS Landesamt für Geoinformation und Landentwicklung Baden-Württemberg. TLS: Höfle, Pfeiffer and Raun. Map: OpenStreetMap.

Figure 2. Revealing landscape. Underneath the underwood on Reussenberg near Karsbach, several new details arise in the interpolated landscape around the 13th century Reussenburg ruin. Source: ALS and historical maps: Bayerisches Landesamt für Vermessung.

Figure 2.
Revealing landscape. Underneath the underwood on Reussenberg near Karsbach, several new details arise in the interpolated landscape around the 13th century Reussenburg ruin. Source: ALS and historical maps: Bayerisches Landesamt für Vermessung.