After successful editions across Europe in France, Austria, Italy, UK, Czech Republic, and Hungary, the Content-Based Multimedia Indexing (CBMI) conference will take place in Reykjavík, Iceland this coming September 2024. CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualisation and analytics. We encourage contributions both on theoretical aspects and applications of CBMI in the new era of Artificial Intelligence. Authors are invited to submit previously unpublished research papers highlighting significant contributions addressing these topics. In addition, special sessions on specific technical aspects or application domains are planned.

Authors can submit full papers (6 pages + references), short papers (4 pages + references), special session papers (6 pages + references) and demonstration proposals (4 pages + 1 page demonstration description + references). Authors of certain best papers of the conference will be invited to submit extended versions of their contributions to a special journal issue in MTAP (approval pending). Submissions to CBMI are peer reviewed in a single blind process. All types of papers must use the IEEE templates at https://www.ieee.org/conferences/publishing/templates.html. The language of the conference is English. The conference proceedings will be published by IEEE.

CBMI 2024 proposes nine special sessions:
Multimodal Data Analysis for Understanding of Human Behaviour, Emotions and their Reasons
Interactive Video Retrieval for Beginners (IVR4B)
Multimedia Indexing for XR (MmIXR)
Content-based Indexing for audio and music: from analysis to synthesis
Advances in AI-Driven Medical and Health Data Analysis (AIMHDA)
Multimedia analysis and simulations for Digital Twins in the construction domain
Multimodal Insights for Disaster Risk Management and Applications (MIDRA)
Explainability in Multimedia Analysis (ExMA)
Deep video analysis for the TV broadcast industry

CBMI 2024 seeks contributions on the following research topics:

Multimedia Content Analysis and Indexing:
Media content analysis and mining
AI/ML approaches for content understanding
Multimodal and cross-modal indexing
Activity recognition and event-based multimedia indexing and retrieval
Multimedia information retrieval (image, audio, video, text)
Conversational search and question-answering systems
Multimedia recommendation
Multimodal analytics, summarization, visualisation, organisation and browsing of multimedia content
Multimedia verification (e.g., multimodal fact-checking, deep fake analysis)
Large multimedia models, large language models and vision language models
Explainability in multimedia learning
Large scale multimedia database management
Evaluation and benchmarking of multimedia retrieval systems

Multimedia User Experiences:
Extended reality (AR/VR/MR) interfaces
Mobile interfaces
Presentation and visualisation tools
Affective adaptation and personalization
Relevance feedback and interactive learning

Applications of Multimedia Indexing and Retrieval:
Multimedia and sustainability
Healthcare and medical applications
Cultural heritage and entertainment applications
Educational and social applications
Egocentric, wearable and personal multimedia
Applications to forensics, surveillance and security
Environmental and urban multimedia applications
Earth observation and astrophysics