SUMAC 2019
The 1st workshop on Structuring and Understanding of Multimedia heritAge Contents

21 October 2019


ACM MULTIMEDIA 2019
21 - 25 October 2019, Nice, France

About the workshop

Scope and topics of the workshop


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 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 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.

Organizers


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)


Program Committee


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)

Call for papers


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

Submission


Submission Due: Monday 08 July 2019 Sunday 14 July 2019

Acceptance Notification: Monday 05 August 2019

Camera Ready Submission: Wednesday 21 August 2019

Workshop Date: Monday 21 October 2019

Submission formats

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.

Peer Review and publication in ACM Digital Library

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.

For additional paper guidelines please visit the conference website.

Please remember to add Concepts and Keywords and use ACM template.

List of accepted papers


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

Program


To be published later

Contact Information


Any questions? Please contact us!