by Behçet Uğur Töreyin (İTÜ), Maria Trocan (ISEP) and Davide Moroni (CNR-ISTI)
The 14th International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM 2026), organised by the ERCIM Working Group Multimedia Understanding through Semantics, Computation and Learning (MUSCLE), was held as a special session of IEEE ISCAS 2026 in Shanghai, China, on 26 May 2026.
The workshop brought together researchers working on multimedia understanding, multimodal learning and semantic analysis of complex data. Presentations addressed topics including multimodal data processing, machine learning for multimedia applications, intelligent sensing systems, and emerging approaches for extracting semantic information from heterogeneous data sources. Discussions highlighted the growing importance of multimodal and cross-modal analysis for enabling intelligent applications in domains ranging from industry and services to scientific research.
The workshop featured four peer-reviewed papers covering topics such as multimodal learning, semantic multimedia analysis, intelligent sensing systems and machine learning for multimedia applications. Discussions highlighted the growing importance of multimodal and cross-modal approaches for enabling intelligent applications in domains ranging from industry and services to scientific research.
Through IWCIM, the MUSCLE Working Group continues to foster collaboration between researchers and practitioners from academia and industry working on multimedia understanding and computational intelligence.
ERCIM Working Groups are open to researchers from ERCIM member institutions as well as interested researchers from outside ERCIM who wish to contribute to their activities.
The 15th edition of IWCIM is planned to take place in conjunction with IEEE ISCAS 2027 in Bordeaux, France, on 6–9 June 2027.

Figure 1: Workshop participants.

Figure 2: Harald Rietdijk, PhD student at ISEP – Paris Institute of Digital Technology presenting at IWCIM 2026.
More information:
https://iwcim.itu.edu.tr

