Investigative analysis across documents and drawings

Deufemia, Vincenzo; Paolino, Luca; Tortora, Genoveffa; Traverso, Antonella; Mascardi, Viviana; Ancona, Massimo; Martelli, Maurizio; Bianchi, Nicoletta; Lumley, Henry de

doi:10.1145/2254556.2254658

Cited by 20 publications

(21 citation statements)

References 23 publications

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“…Using visual analytics techniques in cultural heritage applications is a relatively recent field of research (Patterson et al 2014) that has already provided interesting results on architectural documentation (De Luca 2014), investigative analysis across documents and drawings (Deufemia et al 2012), analysis of wall painting degradations (Zhang et al 2013), as well as risk assessment of cultural heritage sites (Qian et al 2016). With respect to analysis of user behaviors, mining methods have been applied to tracing tourist activity for discovering landmark preferences from photo maps (Jankowski et al 2010), recommending travel routes using geotags (Kurashima et al 2010), and analyzing routing preferences in tourist areas (Torrisi et al 2015).…”

Section: Related Workmentioning

confidence: 99%

Data-Driven Analysis of Virtual 3D Exploration of a Large Sculpture Collection in Real-World Museum Exhibitions

Agus

Marton

Bettio

et al. 2017

J. Comput. Cult. Herit.

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We analyze use of an interactive system for the exploration of highly detailed three-dimensional (3D) models of a collection of protostoric Mediterranean sculptures. In this system, when the object of interest is selected, its detailed 3D model and associated information are presented at high resolution on a large display controlled by a touch-enabled horizontal surface at a suitable distance. The user interface combines an object-aware interactive camera controller with an interactive point-ofinterest selector and is implemented within a scalable implementation based on multiresolution structures shared between the rendering and user interaction subsystems. The system was installed in several temporary and permanent exhibitions and was extensively used by tens of thousands of visitors. We provide a data-driven analysis of usage experience based on logs gathered during a 27-month period at four exhibitions in archeological museums for a total of more than 75K exploration sessions. We focus on discerning the main visitor behaviors during 3D exploration by employing tools for deriving interest measures on surfaces and tools for clustering and knowledge discovery from high-dimensional data. The results highlight the main trends in visitor behavior during the interactive sessions. These results provide useful insights for the design of 3D exploration user interfaces in future digital installations.

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Section: Related Workmentioning

confidence: 99%

Data-Driven Analysis of Virtual 3D Exploration of a Large Sculpture Collection in Real-World Museum Exhibitions

Agus

Marton

Bettio

et al. 2017

J. Comput. Cult. Herit.

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“…e.g. Deufemia et al (2012) developed a geovisualization tool that is Web-enabled, provides high interaction with information, where temporal navigation is dynamic…”

Section: Current Themes and Trends In Geovisualization For Archaeologymentioning

confidence: 99%

“…Similarly, interaction with the temporal component in archaeological data is a central theme in Deufemia et al (2012)'s "Indiana Finder"…”

Section: Current Themes and Trends In Geovisualization For Archaeologymentioning

confidence: 99%

“…2 A depiction of the information transmission model in which the map is typically considered a communication device for outreach to non-specialists. The model is unidirectional and emphasizes the loss of information at each stage until it reaches the final non-specialist recipients (adapted from MacEachren 1995) Visual analytics, for example, is a recent field of research focusing on the development of visual interfaces that enable "knowledge discovery" through a visual exploration of information (Keim et al 2008;Deufemia et al 2012). "Geovisual analytics" (Andrienko et al 2007) leverage the spatial dimension in data, including location information that can pose privacy and security concerns.…”

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confidence: 99%

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Geographic Visualization in Archaeology

Gupta

Devillers

2016

J Archaeol Method Theory

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Abstract:Archaeologists are often considered frontrunners in employing spatial approaches within the social sciences and humanities, including geospatial technologies such as geographic information systems (GIS) that are now routinely used in archaeology. Since the late 1980s, GIS has mainly been used to support data collection and management as well as spatial analysis and modeling. While fruitful, these efforts have arguably neglected the potential contribution of advanced visualization methods to the generation of broader archaeological knowledge. This paper reviews the use of GIS in archaeology from a geographic visualization (geovisual) perspective and examines how these methods can broaden the scope of archaeological research in an era of more user-friendly cyber-infrastructures. Like most computational databases, GIS do not easily support temporal data. This limitation is particularly problematic in archaeology because processes and events are best understood in space and time. To deal with such shortcomings in existing tools, archaeologists often end up having to reduce the diversity and complexity of archaeological phenomena. Recent developments in geographic visualization begin to address some of these issues, and are pertinent in the globalized world as archaeologists amass vast new bodies of geo-referenced information and work towards integrating them with traditional archaeological data. Greater effort in developing geovisualization and geovisual analytics appropriate for archaeological data can create opportunities to visualize, navigate and assess different sources of information within the larger archaeological community, thus enhancing possibilities for collaborative research and new forms of critical inquiry.

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“…The exponential growth of these repositories and the high dimensionality of the stored data challenged rock art archeologists in making deep analysis on them [14]. However, such analysis would never be complete without the contributions of volunteers, due to the amount of necessary work, and to technological limits, especially in the image processing domain.…”

Section: Rock Art Archeologymentioning

confidence: 99%