International Workshop on Computational Intelligence for Multimedia Understanding

Scope

The International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) is the annual workshop organized by the working group Multimedia Understanding through Semantics, Computation and Learning (MUSCLE) of the European Research Consortium for Informatics and Mathematics (ERCIM). This year, IWCIM takes place as a satellite workshop to SITIS 2019, to be held in Sorrento, Italy, on November 26-29, 2019.
Multimedia understanding is an essential part of many intelligent applications in our social life, be it in our households, or in commercial, industrial, service, and scientific environments. Analyzing raw data to provide them with semantics is essential to exploit their full potential and help us manage our everyday tasks. Nowadays, raw data usually come from a host of different sensors and other sources and are different in nature, format, reliability and information content. Multimodal and cross-modal analysis are the only ways to use them at their best. Besides data analysis, this problem is also relevant to data description intended to help storage and mining. Interoperability and exchangeability of heterogeneous and distributed data is a need for any practical application. Semantics is information at the highest level, and inferring it from raw data (that is, from information at the lowest level) entails exploiting both data and prior information to extract structure and meaning.
Computation, machine learning, statistical and Bayesian methods are tools to achieve this goal at various levels.

Topics for the workshop include, but are not limited to:

  • Multisensor systems
  • Multimodal analysis
  • Crossmodal data analysis and clustering
  • Mixed-reality applications
  • Activity and object detection and recognition
  • Text and speech recognition
  • Multimedia labeling, semantic annotation, and metadata
  • Multimodal indexing and searching in very large databases
  • Big and Linked Data
  • Search and mining Big Data
  • Large-scale recommendation systems
  • Multimedia and Multi-structured data
  • Semantic web and Linked Data
  • Case studies

Workshop Co-Chairs

Enis Cetin, Bilkent University, Turkey and UIC, USA
Michal Haindl, Institute of Information Theory and Automation of the CAS, Prague, Czech Republic
Andras L. Majdik, MTA SZTAKI – Institute for Computer Science and Control, Hungarian Academy of Sciences, Budapest, Hungary
Cristina Ribeiro, INESC TEC- Faculty of Engineering, University of Porto, Porto, Portugal
Emanuele Salerno, Institute of Information Science and Technologies, National Research Council of Italy (CNR), Pisa, Italy
Behçet Uğur Töreyin, Informatics Institute, Istanbul Technical University (ITU), Istanbul, Turkey
Maria Trocan, Institut Supérieur d’Électronique de Paris (ISEP), Paris, France
Davide Moroni, Institute of Information Science and Technologies, National Research Council of Italy (CNR), Pisa, Italy

Contact

davide.moroni@isti.cnr.it
toreyin@itu.edu.tr
maria.trocan@isep.fr