The digitization of large quantities of analogue data and the massive production of born-digital documents for many years now provide us with large volumes of varied multimedia data (images, maps, text, video, multisensor data, etc.), an important feature of which is that they are cross-domain. "Cross-domain" reflects the fact that these data may have been acquired in very different conditions: different acquisition systems, times and points of view (e.g. a 1962 postcard from the Arc de Triomphe vs. a recent street-view acquisition by mobile mapping of the same monument). These data represent an extremely rich heritage that can be exploited in a wide variety of fields, from SSH to land use and territorial policies, including smart city, urban planning, tourism, creative media and entertainment. In terms of research in computer science, they address challenging problems related to the diversity and volume of the media across time, the variety of content descriptors (potentially including the time dimension), the veracity of the data, and the different user needs with respect to engaging with this rich material and the extraction of value out of the data. These challenges are reflected in research topics such as multimodal and mixed media search, automatic content analysis, multimedia linking and recommendation, and big data analysis and visualisation, where scientific bottlenecks may be exacerbated by the time dimension, which also provides topics of interest such as multimodal time series analysis.
Jon Yngve Hardeberg is Professor at the Department of Computer Science at NTNU in Gjøvik. He has a MSc in Signal Processing from NTNU, and a PhD in Signal and Image Processing from the Ecole Nationale Supérieure des Télécommunications in Paris, France. Professor Hardeberg is a member of the Norwegian Colour and Visual Computing Laboratory where he teaches, supervises graduate students, manages international study programs and research projects. He has co-authored more than 200 publications.
Mathieu Aubry is a tenured researcher in the Imagine team of Ecole des Ponts. His work is mainly focussed on Computer Vision and Deep Learning, and their intersection with Computer Graphics, Machine Learning, and Digital Humanities. His PhD on 3D shapes representations at ENS was co-advised by Josef Sivic (INRIA) and Daniel Cremers (TUM). In 2015, he spent a year working as a postdoc with Alexei Efros in UC Berkeley. Since 2018, he is leading the EnHerit ANR project on enhancing heritage image databases. He is also co-organizing the DHAI seminar.
The objective of the third edition of this workshop is to present and discuss the latest and most significant trends in the analysis, structuring and understanding of multimedia contents dedicated to the valorization of heritage, with emphasis on the unlocking of and access to the big data of the past. We welcome research contributions for the following (but not limited to) topics:
Submission Due: 30 July 2021 AoE
Acceptance Notification: 11 August 2021
Camera Ready Submission: 31 August 2021
Workshop Date: 20 October 2021
All submissions must be original work not under review at any other workshop, conference, or journal. The workshop will accept papers describing completed work as well as work in progress. One submission format is accepted: full paper, which must follow the formatting guidelines of the main conference ACM MM 2021. Full papers should be from 6 to 8 pages (plus 2 additional pages for the references), encoded as PDF and using the ACM Article Template. For paper guidelines, please visit the conference website, and refer to the 'Paper Format' under 'Submission Instructions'.
Paper submissions must conform with the “double-blind” review policy. All papers will be peer-reviewed by experts in the field, they will receive at least two reviews. Acceptance will be based on relevance to the workshop, scientific novelty, and technical quality. Depending on the number, maturity and topics of the accepted submissions, the work will be presented via oral or poster sessions. The workshop papers will be published in the ACM Digital Library.
Built Year Prediction from Buddha Face with Heterogeneous Labels Yiming Qian (Osaka University); Cheikh Brahim EL VAIGH (Irisa/Inria); Yuta Nakashima (Osaka University); Benjamin Renoust (Osaka University); Hajime Nagahara (Osaka University); Yutaka Fujioka (Osaka University)
Software and Content Design of a Browser-based Mobile 4D VR Application to Explore Historical City Architecture Sander Muenster (FSU Jena); Jonas Bruschke (FSU Jena); Ferdinand Maiwald (FSU Jena); Constantin Kleiner (FSU Jena)
Evaluation of Deep Learning Techniques for Content Extraction in Spanish Colonial Notary Records Nouf Alrasheed (University of Missouri-Kansas City); Shivika Prasanna (University of Missouri-Columbia); Ryan Rowland (University of Missouri-Kansas City); Praveen Rao (University of Missouri-Columbia); Viviana Grieco (University of Missouri-Kansas City); Martín Wasserman (University of Buenos Aires & CONICET)
How to spatialize geographical iconographic heritage Emile Blettery (IGN); Nelson Fernandes (LASTIG/IGN-UGE); Valérie Gouet-Brunet (LASTIG/IGN-UGE)
Searching Silk Fabrics by Images Leveraging on Knowledge Graph and Domain Expert Rules Thomas Schleider (EURECOM); Raphael Troncy (EURECOM); Mareike Dorozynski (Leibniz Universitat Hannover"); Franz Rottensteiner ("Leibniz Universitat Hannover, Germany"); Jorge Sebastián Lozano (Universitat de València); Georgia Lo Cicero (University di Palermo); Thibault Ehrhart (EURECOM)
This year, like the previous year, we have the pleasure to award a prize of 500 euros for the best article. The best article will be chosen by a jury, and announced at the end of the workshop. The award is co-sponsored by Friedrich-Alexander-Universität Erlangen, the French Mapping Agency (IGN) and the French National Research Agency (ANR, Alegoria project). The workshop will also feature the following two keynote talks.
Any questions? Please contact us!