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SUMAC '19: Proceedings of the 1st Workshop on Structuring and Understanding of Multimedia heritAge Contents
ACM2019 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
MM '19: The 27th ACM International Conference on Multimedia Nice France 21 October 2019
ISBN:
978-1-4503-6910-7
Published:
15 October 2019
Sponsors:
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Abstract

It is our great pleasure to welcome you to SUMAC 2019, The 1st ACM workshop on Structuring and Understanding of Multimedia heritAge Contents. 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.

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SESSION: Keynote Talks
keynote
Visualizing Orientations of Large Numbers of Photographs

Digitized historical photographs are invaluable sources and key items for scholars in Cultural Heritage (CH) research. In addition to browsing online image collections using metadata, alternative ways of finding photographs are possible, by embedding ...

keynote
Beyond Three Dimensions: Managing Space, Time and Subjectivity in your Data

Why are we digitizing multimedia content of our heritage? Why are we spending important effort and money to create exact digital copies of our pictures, vases, manuscripts, historical archives, early movies and photographs, archeological artefacts, etc. ...

SESSION: Workshop Presentations
research-article
Pseudo-Cyclic Network for Unsupervised Colorization with Handcrafted Translation and Output Spatial Pyramids

We present a novel pseudo-cyclic adversarial learning approach for unsupervised colorization of grayscale images. We investigate the use of a non-trainable, lightweight and well-defined Handcrafted Translation to enforce the generation of realistic ...

research-article
Recognizing Characters in Art History Using Deep Learning

In the field of Art History, images of artworks and their contexts are core to understanding the underlying semantic information. However, the highly complex and sophisticated representation of these artworks makes it difficult, even for the experts, to ...

research-article
Historical and Modern Features for Buddha Statue Classification

While Buddhism has spread along the Silk Roads, many pieces of art have been displaced. Only a few experts may identify these works, subjectively to their experience. The construction of Buddha statues was taught through the definition of canon rules, ...

research-article
Challenging Deep Image Descriptors for Retrieval in Heterogeneous Iconographic Collections

This article proposes to study the behavior of recent and efficient state-of-the-art deep-learning based image descriptors for content-based image retrieval, facing a panel of complex variations appearing in heterogeneous image datasets, in particular ...

research-article
Processing Historical Film Footage with Photogrammetry and Machine Learning for Cultural Heritage Documentation

Historical film footages in many cases represent the only remaining traces of Cultural Heritage that has been lost or changed over time. Photogrammetry is a powerful technique to document the heritage transformations, but its implementation is ...

research-article
An Interactive Web Application for the Creation, Organization,and Visualization of Repeat Photographs

Repeat photography describes the process of photographing the same scene from the same camera position at different points in time. Goals are for example the detection and measurement of changes in the scene. In this paper we will present re.photos (...

SESSION: Workshop Posters
research-article
Organizing Cultural Heritage with Deep Features

In recent years, the preservation and diffusion of culture in the digital form has been a priority for the governments in different countries, as in Mexico, with the objective of preserving and spreading culture through information technologies. ...

research-article
Deep Learning as a Tool for Early Cinema Analysis

Visual Cultural Heritage has extensively been explored using multimedia methods, but has so far been limited to still images. In particular, Early Cinema has hardly been explored. We analyze the Desmet collection, a recently digitized collection of ...

research-article
ISHIGAKI Retrieval through Combinatorial Optimization

Two strong earthquakes that hit Kumamoto in April 2016 damaged the infrastructure and many buildings in the area, significantly impacting the people and traditional cultural assets of Kumamoto. In this project, using information technology, we aim to ...

research-article
An Ontology Web Application-based Annotation Tool for Intangible Culture Heritage Dance Videos

Collecting dance videos, preserving and promoting them after enriching the collected data has been significant actions in preserving Intangible culture heritage in South-East Asia. Whereas techniques for the conceptual modeling of the expressive ...

Contributors
  • Gustave Eiffel University
  • Fujitsu Limited
  • Friedrich Schiller University Jena
  1. Proceedings of the 1st Workshop on Structuring and Understanding of Multimedia heritAge Contents

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      Acceptance Rates

      Overall Acceptance Rate 5 of 6 submissions, 83%
      YearSubmittedAcceptedRate
      SUMAC '226583%
      Overall6583%