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Computer Vision Applications for Art History: Reflections and paradigms for future research

Amalia F. Foka
2021 Electronic Visualisation and the Arts London Conference  
Finally, some paradigms that could serve as a new starting point for exploring how computer vision applications for art history can address the core of today's art history research are given.  ...  The objective is to identify which image features art historians utilise within their research and describe them in immediate and meaningful terms to the computer vision research community.  ...  He also proposes to connect visual and textual content for image search and retrieval.  ... 
doi:10.14236/ewic/eva2021.12 dblp:conf/eva/Foka21 fatcat:yz3erfw6cvg35nwxu3bdgtgxau

Understanding and Creating Art with AI: Review and Outlook [article]

Eva Cetinic, James She
2021 arXiv   pre-print
Technologies related to artificial intelligence (AI) have a strong impact on the changes of research and creative practices in visual arts.  ...  The growing number of research initiatives and creative applications that emerge in the intersection of AI and art, motivates us to examine and discuss the creative and explorative potentials of AI technologies  ...  The application of CNNs has shown promising results in retrieving visually linked images in painting collections [108, 111, 17, 16] . To tackle the complexity of similarity in art, Mao et al.  ... 
arXiv:2102.09109v1 fatcat:ztuhedmgqrbdziwogxjq46spzq

Interactive 3D visual retrieval for art history education

Gerald Benoit
2009 Proceedings of the American Society for Information Science and Technology  
For example, searching for visual resources (images representing 2D and 3D art objects), end-users see the representation of the art, but without more knowledge cannot see the value of an object in society  ...  The paper sketches the architecture, interaction, and collection metadata created in response to a survey of art history student and instructors' educational needs.  ...  In addition, instructors want to expand the students' ability to contextualize images in the domain, here art history.  ... 
doi:10.1002/meet.2008.1450450240 fatcat:eiawe7da7jbdlozqvsc6ufyi6u

The HERON Project — Multimedia Database Support for History and Human Sciences [chapter]

Werner Kießling, Katharina Erber-Urch, Wolf-Tilo Balke, Thomas Birke, Matthias Wagner
1998 Informatik aktuell  
W e present rst evaluation results of querying image databases by visual content. Also the requirements of a digital workbench for art historians are described.  ...  The interdisciplinary HERON project investigates the impact of multimedia applications from the humanities, in particular heraldry, on future database technology.  ...  The database software applied in the project is granted within the "INFORMIX for Innovation Educational Grant Program" and the program "DB2 For Educational Purpose".  ... 
doi:10.1007/978-3-642-72283-7_31 dblp:conf/gi/KiesslingEBBW98 fatcat:7b5dpyycmjdxtk4b3k4effojnu

Integrating informatics in humanities activities and research

Stephen Paling, Sarah Buchanan, Catherine Larkin
2010 Proceedings of the American Society for Information Science and Technology  
Characteristics of the humanities disciplines -including the visual arts, history, and literature -will be analyzed with a focus on contextualizing those areas most applicable for digital activity modules  ...  This blended theoretical and application-oriented panel will focus on the technologies, metadata standards, and professional tools useful in facilitating humanities activities and research for scholarly  ...  Position Statement: Information retrieval (IR) in the visual arts is a compelling topic because of its collective necessity for image and text research materials.  ... 
doi:10.1002/meet.14504701077 fatcat:uv3o54h7qnawro6igfjtzowjd4

Linked Open Images: Visual similarity for the Semantic Web

Lukas Klic, Mehwish Alam, Victor de Boer, Eero Hyvönen, Albert Meroño Peñuela, Harald Sack
2022 Semantic Web Journal  
The field of Digital Art History stands to benefit a great deal from computer vision, as numerous projects have already made good progress in tackling issues of visual similarity, artwork classification  ...  This paper presents ArtVision, a Semantic Web application that integrates computer vision APIs with the ResearchSpace platform, allowing for the matching of similar artworks and photographs across cultural  ...  Impett, Analyzing gesture in digital art history, in: The Routledge Companion to Digital Humanities and Art History, Routledge, 2020. 22.  ... 
doi:10.3233/sw-212893 fatcat:fx3c3wffrjf7xlmi4rjl3bwk2e

DeepArt

Hui Mao, Ming Cheung, James She
2017 Proceedings of the 2017 ACM on Multimedia Conference - MM '17  
A practical system for visual arts retrieval and annotation is implemented based on our framework and dataset. Code, data and system are publicly available 1 .  ...  For example, by studying a vast number of artworks, art experts summary and enhance the knowledge of unique characteristics of each visual arts to do visual arts analytic works, it is non-trivial for computer  ...  In this paper, we propose an powerful framework to learn visual representations of visual arts to facilitate the different kinds of visual arts related applications, for example, visual arts retrieval  ... 
doi:10.1145/3123266.3123405 dblp:conf/mm/MaoCS17 fatcat:c37ai4kfvjeazhxfncclpmiomm

Reconstructing Histories: Analyzing Exhibition Photographs with Computational Methods

Sabine Lang, Björn Ommer
2018 Arts  
The following article describes how digital images of exhibitions, as released by the New York Museum of Modern Art in the fall of 2016, are studied with a retrieval system to analyze in which artistic  ...  Displays of art in public or private spaces have long been of interest to curators, gallerists, artists and art historians.  ...  In particular, thank you to Nikolai Ufer for his general help and providing information about the method and interface and to Anja Lang for proofreading the manuscript.  ... 
doi:10.3390/arts7040064 fatcat:lou2eatkwba23md3njxfq57hze

Large-scale interactive retrieval in art collections using multi-style feature aggregation

Nikolai Ufer, Max Simon, Sabine Lang, Björn Ommer, Diego Oliva
2021 PLoS ONE  
Finding objects and motifs across artworks is of great importance for art history as it helps to understand individual works and analyze relations between them.  ...  This article presents a visual search algorithm and user interface to support art historians to find objects and motifs in extensive datasets.  ...  Computer vision in the arts Computer vision and art history share fundamental questions since both are concerned with visual perception and investigate the characteristics of images to understand their  ... 
doi:10.1371/journal.pone.0259718 pmid:34818376 pmcid:PMC8612525 fatcat:7sg5tifl6bfcvhrb5r5b47wgje

Deep learning approaches to pattern extraction and recognition in paintings and drawings: an overview

Giovanna Castellano, Gennaro Vessio
2021 Neural computing & applications (Print)  
Recent advances in deep learning and computer vision, coupled with the growing availability of large digitized visual art collections, have opened new opportunities for computer science researchers to  ...  AbstractThis paper provides an overview of some of the most relevant deep learning approaches to pattern extraction and recognition in visual arts, particularly painting and drawing.  ...  Acknowledgements Gennaro Vessio acknowledges the financial support of the Italian Ministry of University and Research through the PON AIM 1852414 project.  ... 
doi:10.1007/s00521-021-05893-z fatcat:elqzw3hzbzgodotie6ndih537u

Visual Link Retrieval in a Database of Paintings [chapter]

Benoit Seguin, Carlotta Striolo, Isabella diLenardo, Frederic Kaplan
2016 Lecture Notes in Computer Science  
We design a methodology and a tool to annotate efficiently clusters of similar paintings and test various algorithms in a retrieval task.  ...  This paper examines how far state-of-the-art machine vision algorithms can be used to retrieve common visual patterns shared by series of paintings.  ...  Collecting and analyzing images is the starting point of the method for Art History.  ... 
doi:10.1007/978-3-319-46604-0_52 fatcat:3o4rdl2iynfmpjuura7axbkkve

WHERE ARE WE NOW ON THE ROAD TO 4D URBAN HISTORY RESEARCH AND DISCOVERY?

S. Münster, F. Maiwald, J. Bruschke, C. Kröber, R. Dietz, H. Messemer, F. Niebling
2021 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Against this background, in this article we present the achievements of the project, lessons learned, and current state of 4D urban history research and discovery based on historical photographs.  ...  From 2016 to 2021 the research group HistStadt4D investigated and developed methods and technologies to transfer extensive repositories of historical photographs and their contextual information into a  ...  ACKNOWLEDGMENTS Parts of this research described in this paper were carried out in the project Digital4Humanities (German Federal Ministry of Education and Research, 1630UG01).  ... 
doi:10.5194/isprs-annals-viii-m-1-2021-109-2021 doaj:379b8ad9dc484fc4a443048fda91f2b8 fatcat:lnziprrddbhvlmm6exzq75ebwq

Semantic video and image retrieval

Peter L. Stanchev
2007 Proceedings of the 45th annual southeast regional conference on - ACM-SE 45  
BRIEF SUMMARY In this tutorial we will discuss the history, the state of art, and the future of semantic image and video retrieval.  ...  Several visual descriptors exist for representing the physical content of an image, such as the MPEG-7 standard [2]. Historically, semantic retrieval was frequently based on computer vision.  ...  The image texture is one of the most important image characteristic in both human and computer image analysis and object recognition. Visual texture is a property of a region in an image.  ... 
doi:10.1145/1233341.1233438 dblp:conf/ACMse/Stanchev07 fatcat:7vwfdt6vobbrxomuxqscg4kuo4

Digital imagery for significant cultural and historical materials

Ching-chih Chen, Howard D. Wactlar, James Z. Wang, Kevin Kiernan
2005 International Journal on Digital Libraries  
Then we focus on its four interrelated sub-areas: (1) creation and preservation, (2) retrieval, (3) presentation and usability, and (4) applications and use.  ...  Digital imagery for significant cultural and historical materials is an emerging research field that bridges people, culture, and technologies.  ...  This work is supported by the EU Network of Excellence DELOS and the US National Science Foundation. Conversations with Michael Lesk and Stephen Griffin have been helpful.  ... 
doi:10.1007/s00799-004-0097-5 fatcat:72helepjorazhnzk7llz42xyfa

Touchscreen User Interface Design for Content Based Image Retrieval

Joanna Gancarczyk, Anna Olszewska
2017 EVA London 2017  
The interface presented combines query-by-sketch and query-by-image modes of interaction. It is designed to harmonise extraction of several basic shape descriptors with 2d haptic pointing. CBIR.  ...  Image extraction.  ...  (4) visual communication/art history background.  ... 
doi:10.14236/ewic/eva2017.64 dblp:conf/eva/GancarczykO17a fatcat:2b5oh6ifhvgu7h4qbhubv6z6dy
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