CALL FOR CONTRIBUTIONS

Important Dates

Topics of Interest

Topics of interest to the IEEE CBMI community include (but are not limited to) the following:

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, visualization, organization and browsing of multimedia content
• Multimedia verification (e.g., multimodal fact-checking, deep fake analysis)
• Foundation models, 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 and user interaction
• Presentation and visualization 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
• Physical and industrial processes

Submission

Not yet open

Call for Regular Papers

IEEE CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics.

The organisers of IEEE CBMI 2026 call for novel and original research papers that are addressing the various topics of interest related to the conference. We encourage contributions both on theoretical aspects and applications of CBMI in the new era of Artificial Intelligence and foundation/language-backed models for multimedia for multimedia. Authors are invited to submit previously unpublished research papers highlighting significant contributions addressing these topics.

The format of the regular papers is as follows:

• Full papers: 6 pages + references
• Short papers: 4 pages + references
• Peer review process: Double-blind
• Conference language: English
  For full details on the submission process see the submission guidelines.

Call for Special Sessions Submissions

Call for Demonstrations

CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. We invite authors to report on novel and compelling demonstrations in all topic areas of CBMI. Demonstration papers are subject to peer review according to criteria such as novelty, interestingness, applications of or enhancements to state-of-the-art, and potential impact.

The format of the demonstration papers is as follows:

• Length: Up to 4 pages
• Additional content: 1-2 pages should be appended to the paper that illustrate how the demo will be conducted on-site at IEEE CBMI 2026. This additional content will not be published in the conference proceedings, should the submission be accepted
• Video link encouraged: Showing the demo in action
• Peer review process: Single-blind

Presenters are expected to bring the necessary equipment (computers, etc.) themselves. The conference will provide a table, power outlet, screen, wireless (shared) internet and a poster board. If you have special needs (e.g., more space), please include a related note in your demo submission.