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Using Generative Art to Convey Past and Future Climate Transitions

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Cultural big data: nineteenth to twenty-first century panoramic visualization.

Tsz Kin Chau¹, Paul Bourke², Lily Hibberd¹

¹Laboratory for Experimental Museology, College of Humanities, Digital Humanities Institute, Swiss Federal Polytechnical Institute of Technology (EPFL), Lausanne, Switzerland.

Frontiers in Big Data

|November 25, 2024

Summary

This study revives the 1894 Murten panorama as a digital twin, enhancing immersive visualization through gigapixel imaging and machine learning for cultural heritage big data. It offers new methods for augmenting layered narratives in interactive digital panoramas.

Keywords:

3D augmentation battle of Murten big data cultural history data visualization gigapixel image media archaeology panorama

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Published on: June 18, 2021

Area of Science:

Digital Heritage
Computer Vision
Human-Computer Interaction

Background:

Panoramic viewing strategies have evolved from 19th-century painted canvases to 1990s digital formats, amplified by gigapixel imaging, computer vision, and machine learning.
These strategies are crucial for scientific analysis, dissemination, and visualizing cultural big data, primarily by creating an illusion of immersion.
Immersion is achieved through human-centered design in large-scale environments and multi-sensory experiences (sight, sound, touch, smell).

Purpose of the Study:

To present original research on creating a digital twin of the 1894 Murten panorama.
To delineate the methods and technological framework for visualizing the Murten panorama.
To discuss novel visualization methodologies for enhancing immersion and augmenting layered narratives in cultural big data.

Main Methods:

Historical research on the Murten panorama.
Development of a technological framework for gigapixel image visualization.
Implementation of human-centered design and multi-sensory elements for an immersive experience.
Application of computer vision and machine learning techniques.

Main Results:

Successful creation of a digital twin for the 1894 Murten panorama.
Development of novel visualization methodologies for the world's largest image of a single physical object.
Augmentation of layered narratives and histories within an interactive viewing experience.
Demonstration of enhanced immersion through a multi-sensory approach.

Conclusions:

The digital twin of the Murten panorama offers a new model for visualizing and augmenting cultural heritage big data.
Novel visualization strategies enhance the illusion of immersion for gigapixel images in digital panoramas.
This research provides valuable schemas for researchers working with heritage big data and digital panoramas.