We cordially invite you to submit your original contributions to IWCIM 2025 – the 13th International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), which will take place as a satellite workshop to IEEE ISCAS 2025, to be held in London on May 25-28, 2025.
Please see the workshop website https://iwcim.itu.edu.tr/ and the general conference web page  https://2025.ieee-iscas.org/ for more information.

 

IWCIM 2025 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).
Multimedia understanding is an important part of many intelligent applications in our social life, whether in our households or in commercial, industrial, service, and scientific environments. Analyzing raw data to provide them with semantics is essential to exploiting their full potential and helping us manage our everyday tasks. Raw data normally come from various 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 are necessary 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:

The scope of IWCIM 2025 includes but is not limited to the following topics:

o Multisensor systems
o Multimodal analysis  
o Crossmodal data analysis and clustering
o Mixed-reality applications
o Activity and object detection/recognition
o Text and speech recognition
o Multimedia labeling, semantic annotation, and metadata
o Multimodal indexing and searching in very large databases
o Big and Linked Data Search and mining Big Data
o Large-scale recommendation systems
o Multimedia and Multi-structured data
o Semantic web and Linked Data
o Cloud Optimization
o Pervasive Intelligence
o Machine learning in multimedia understanding
o Attention-based approaches for multimedia understanding
o Diffusion models for multi-modal data analysis
o Multi-modal data analysis in compressed domain
o Multi-modal data analysis for remote sensing applications
o Semantic web and Linked data
o Case studies

PUBLICATION:
All the papers accepted for the workshop will be included in the conference proceedings published in IEEExplore.