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.
The objective of the second 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.
André Araujo   (Google, USA)
André Araujo is a senior software engineer at Google Research. He obtained a PhD in electrical engineering from Stanford University, in 2016. His current research focuses on computer vision, mainly on techniques in the area of instance-level recognition such as local and global images features. He has recently served as a primary organizer of CVPR'18/19 workshops on landmark recognition and for the ECCV'20 workshop in instance-level recognition.
Livio de Luca   (CNRS, France)
Architect, PhD in Engineering (Arts et Métiers ParisTech), HDR in Computer Science, Livio De Luca is a research director at CNRS (The French National Centre for Scientific Research) and director of CNRS-MAP unit. General Co-chair of the UNESCO/IEEE/EG DigitalHeritage international congress (Marseille 2013, Grenade 2015) and coordinator and member of national and international actions, his research activities focus on surveying, geometric modeling and semantic enrichment of digital representations of heritage objects. Associate editor of the Journal of Cultural Heritage and the Journal on Computing and Cultural Heritage, since 2016 he is an appointed member of the CoNRS. His work was rewarded in 2007 by the Pierre Bézier Prize (Arts et Métiers Foundation), in 2016 by the Medal for Research and Technology (french Academy of Architecture) and in 2019 by the CNRS Medal of Innovation. He is today coordinator of the “digital data” working group of the CNRS/Ministry of Culture scientific site for the restoration of Notre-Dame de Paris.
Valerie Gouet-Brunet  (IGN/LaSTIG, France)
Liming Chen   (Centrale Lyon/LIRIS, France)
Xu-Cheng Yin  (University of Science and Technology Beijing, China))
Ronak Kosti (Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany)
Margarita Khokhlova (IGN/LaSTIG, Centrale Lyon/LIRIS, France)
Nathalie Abadie (IGN/COGIT, France)
Peter Bell (FAU, Germany)
Jenny Benois-Pineau(LABRI/Université Bordeaux, France)
Véronique Eglin (INSA de Lyon/LIRIS, France)
Marin Ferecatu (Cnam Paris, France)
Liangcai Gao (Peking University, China)
Sony George (The Norwegian Colour and Visual Computing Laboratory, Norway)
Leo Impett (EPFL/IVRL, Switzerland)
Pedro Jacobetty (University of Edinburgh, UK)
Martin Langner (Uni. Göttingen, Germany)
Prathmesh Madhu (PRL-FAU, Germany)
Fabian Offert (Art Hist/FAU, Germany)
Benjamin Renoust (Osaka University, Japan)
Fernanda Pires (UPF, Spain)
Li Weng (Hangzhou Dianzi University, China)
Chao Zhu (University of Science and Technology Beijing, China)
Chongsheng Zhang (Henan University, China)
The objective 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 the emphasis on the unlocking of and access to the big data of the past. We welcome research contributions related to the following (but not limited to) topics:
● Multimedia and cross-domain data interlinking and recommendation
● Dating and geolocalization of historical data
● Mixed media data access and indexing
● Deep learning in adverse conditions (transfer learning, learning with side information, etc.)
● Multi-modal time series analysis, evolution modelling
● Multi-modal and multi-temporal data rendering
● HCI / Interfaces for large scale data sets
● Smart digitization of massive quantities of data
● Benchmarking, open data movement
Submission Due: Thursday 30 July 2020
Acceptance Notification: Wednesday 26 August 2020
Camera Ready Submission: Wednesday 2 September 2020
Workshop Date: To be decided (12 or 16 Oct. 2020)
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 2020. 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.
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.
To be published later
Any questions? Please contact us!