Call for Papers |
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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 Authors are invited to submit previously unpublished research papers highlighting significant contributions addressing these topics.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. 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 |
Credits and Sources |
| [1] CBMI 2024 : Content-Based Multimedia Indexing |
