BM
B.T. Mager
28 records found
1
Computer vision and architectural history at eye level
Mixed methods for linking research in the humanities and in information technology (ArchiMediaL)
Information on the history of architecture is embedded in our daily surroundings, in vernacular and heritage buildings and in physical objects, photographs and plans. Historians study these tangible and intangible artefacts and the communities that built and used them. Thus valua
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Mixing Methods
Practical Insights from the Humanities in the Digital Age
Digitality is a cause and a consequence of different data cultures. It applies to the 10 research projects that are included in this volume. They are rooted in various humanities disciplines such as art history, philosophy, musicology, religious studies, architectural history, me
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Deep Learning from History
Unlocking Historical Visual Sources Through Artificial Intelligence
Historical photos of towns and villages contain a great deal of information about the built environment of the past. However, it is difficult to evaluate the information of images that are not labeled or incorrectly labeled or not organized in repositories or collections. In orde
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Throughout history, the access to large bodies of water facilitated the foundation, rise and prosperity of human settlements. Besides the vital quality of fresh water, the connecting potential of water was the decisive factor that prompted these developments. Since centuries, oce
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Digital technologies provide novel ways of visualizing cities and buildings. They also facilitate new methods of analyzing the built environment, ranging from artificial intelligence (AI) to crowdsourced citizen participation. Digital representations of cities have become so refi
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Water has served and sustained societies throughout the history of humankind. People have actively shaped its course, form, and function for human settlement and the development of civilizations. Around water, they have created socioeconomic structures, policies, and cultures; a
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It was the present moment. No one need wonder that Orlando started, pressed her hand to her heart, and turned pale. For what more terrifying revelation can there be than that it is the present moment? That we survive the shock at all is only possible because the past shelters us
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The ArchiMediaL project aims to bridge between data science and researches on contemporary and historical built environments by developing state of the art AI algorithms for the automatic linking of available meta-data and image repositories. As a case-study we use the 360,000+ h
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The 2019 International Conference "Water as Heritage" took place 27-31 May 2019 in Chiayi, Taiwan. Organized by the Taiwan International Institute for Water Education, the International Council on Monuments and Sites (ICOMOS) Netherlands and the Leiden-Delft-Erasmus Centre for Gl
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Water Resilience
Creative Practices Past, Present and Future
Creative practices are at the heart of human history. Humans have responded creatively to a broad range of challenges—environmental, political, economic, social, religious, cultural—by shaping our tangible physical environment and our intangible cultural practices. Our present bu
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Built form dominates the urban space where most people live and work and provides a visual reflection of the local, regional and global esthetical, social, cultural, technological and economic factors and values. Street-view images and historical photo archives are therefore an i
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Mathematics and/as Humanities
Linking Humanistic Historical to Quantitative Approaches
The article reflects the state of mathematics between the natural sciences and the humanities. By arguing that mathematics is a humanities subject, it suggests a close connection between mathematics and urban morphology studies. This also applies to the discrepancy between quanti
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Searching for Meiji-Tokyo
Heterogeneous Visual Media and the Turn to Global Urban History, Digitalization, and Deep Learning
We address the interpretability of convolutional neural networks (CNNs) for predicting a geo-location from an image. In a pilot experiment we classify images of Pittsburgh vs Tokyo and visualize the learned CNN filters. We found that varying the CNN architecture leads to variatin
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