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  1. Home
  2. Program: 12th IWCIMU

12th International Workshop on Computational Intelligence for Multimedia Understanding (IWCIMU)


Chair:

  • Prof. Maria Trocan, Institut Supérieur d'Électronique de Paris (ISEP), Paris, France
  • Dr. Davide Moron, Institute of Information Science and Technologies, National Research Council of Italy (CNR), Pisa, Italy
  • Prof. Behçet Uğur Töreyin, Informatics Institute, Istanbul Technical University (ITU), Istanbul, Turkey

  • Time & Venue:

    8:30 – 10:00, 21 May 2024 (Tuesday), at room Virgo 2


    Abstract/Information:

    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 IEEE ISCAS 2024, to be held in Singapore on May 19 - 22, 2024.

    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. Analysing 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.

    IWCIM 2024 includes the following topics:

  • Multisensory systems
  • Multimodal analysis
  • Cross modal data analysis and clustering
  • Activity and object detection and recognition
  • Text and speech recognition
  • Multimedia labelling, semantic annotation and metadata
  • Multimodal indexing and searching in very large data-bases
  • Machine learning in multimedia understanding
  • Attention based approaches for multimedia understanding
  • Diffusion models for multi-modal data analysis
  • Multi-modal data analysis in compressed domain and for remote sensing applications
  • Multimedia and multi-structured data
  • ISCAS 2024 Contact

    General Inquiry:
    iscas2024.sec@atenga.sg

    Registration Related Inquiry:
    iscasreg@ieee.org

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