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,
multi-sensor 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
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 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.
Valerie Gouet-Brunet  (IGN/LaSTIG, France)
Sander Münster (Technische Universität Dresden, Germany)
Liming Chen   (Centrale Lyon/LIRIS, France)
Margarita Khokhlova (IGN/LaSTIG, Centrale Lyon/LIRIS, France)
Nathalie Abadie (IGN/COGIT, France)
Mathieu Aubry (ENPC/ParisTech, France)
Jenny Benois-Pineau(LABRI/Université Bordeaux, France)
Hervé Dejean (Naver Labs Europe, France)
Véronique Eglin (INSA de Lyon/LIRIS, France)
Sony George (The Norwegian Colour and Visual Computing Laboratory, Norway)
Vincent Lepetit (LABRI/Université Bordeaux, France)
Fulvio Rinaudo (Politecnico di Torino, Italy)
Martyna Poreba (IGN, France)
Xu-Cheng Yin (University of Science and Technology Beijing, 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
Monday 08 July 2019 Sunday 14 July 2019
Monday 05 August 2019
Camera Ready Submission:
Wednesday 21 August 2019
Workshop Date: Monday 21 October 2019
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 2019. Full papers should be from 4 to 8 pages (plus additional pages for the reference pages), encoded as PDF and using the ACM Article Template.
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.
An Interactive Web Application for the Creation, Organization, and Visualization of Repeat Photographs Axel Schaffland, Gunther Heidemann and Oliver Vornberger
An ontology web-application-based annotation tool for intangible culture heritage dance videos Karim Tabia
Challenging deep image descriptors for retrieval in heterogeneous iconographic collections Dimitri Gominski, Martyna Poreba, Valérie Gouet-Brunet and Liming Chen
Deep Learning as a Tool for Early Cinema Analysis Samarth Bhargav, Nanne van Noord and Jaap Kamps
Historical and Modern Features for Buddha Statue Classification Benjamin Renoust, Matheus Franca, Jacob Chan, Noa Garcia, Van Le, Ayaka Uesaka, Yuta Nakashima, Hajime Nagahara, Juereng Wang and Yutaka Fujioka
ISHIGAKI Retrieval via Combinatorial Optimization Sakino Ando, Gou Koutaki and Keiichiro Shirai
Organizing Intangible Cultural Heritage with Deep Features Abraham Montoya Obeso, Jenny Benois-Pineau, Mireya Saraí García Vázquez and Alejando Álvaro Ramíres Acosta
Processing historical film footage with Photogrammetry and Machine Learning for Cultural Heritage documentation Francesca Condorelli and Fulvio Rinaudo
Pseudo-Cyclic Network for Unsupervised Colorization with Handcrafted Translation and Output Spatial Pyramids Rémi Ratajczak, Carlos Fernando Crispim-Junior, Béatrice Fervers, Elodie Faure and Laure Tougne
Recognizing Characters in Art History Using Deep Learning Prathmesh Madhu, Ronak Kosti, Lara Mührenberg, Peter Bell, Andreas Maier and Vincent Christlein
To be published later
Any questions? Please contact us!