Call for Papers

The International Conference on Multimedia Modeling (MMM 2027) invites high‑quality original research papers describing novel contributions in all areas of multimedia modelling, processing, analysis and applications. MMM serves as a leading forum for researchers and practitioners to present and discuss innovative ideas, methodologies and systems in multimedia.

Submission Guidelines

• All submissions must follow the formatting guidelines of Springer’s Lecture Notes in Computer Science (LNCS) series.
• Full papers are limited to 12 content pages (including figures, tables and appendices) with up to 2 additional pages for references.
• Papers must be original and not under review elsewhere.
• Submissions must be properly anonymised for double‑blind review.

Authors should carefully follow the official submission instructions and templates provided on the conference website.

Review Process

Regular and special session papers undergo a rigorous double‑blind peer review. Submissions are evaluated based on the novelty, technical quality, relevance to MMM and clarity of presentation.

Presentation and Registration Policy

• Each accepted paper must be associated with one full conference registration.
• Each registration can cover only one contribution.
• MMM 2027 will be held as an onsite conference.
• At least one author must attend and present the paper at the conference venue.

Preprint and Open Access Policy

The policy on preprints (e.g. arXiv) follows Springer’s regulations; detailed information will be provided on the website. For open access or Open Choice, authors should refer to Springer for pricing, licensing (e.g. CC‑BY agreement) and publication procedures.

Submission

To submit your paper to MMM 2027, please use the official submission system (submission link to be provided). For enquiries, contact [email protected].

Topics of Interest

MMM 2027 welcomes submissions in—but not limited to—the following topic areas:

1. Multimedia Content Analysis

– Multimedia indexing, mining and retrieval – Multimedia abstraction and summarisation – Annotation, tagging and recommendation – Multimodal analysis and semantic understanding – Context‑aware multimedia analysis – Interactive learning and knowledge construction – Multimedia verification and fusion – Multimedia content generation

1. Multimedia Signal Processing and Communications

– Media representation and algorithms – Multimedia sensors and interaction modes – Privacy, security and content protection – Multimedia standards – Databases, query processing and scalability – Content delivery, streaming and networking – Wireless and mobile multimedia – Sensor networks and distributed systems – Audio, image and video processing and compression – Multi‑camera and multi‑view systems

1. Multimedia Applications, Interfaces and Services

– Retrieval, browsing and recommendation systems – Extended reality (AR/VR/MR) and virtual environments – Real‑time and interactive applications – Multimedia analytics – Egocentric and wearable multimedia – Urban and satellite multimedia – Mobile multimedia systems – Multimodal question answering and conversational AI – Authoring and personalisation

1. Domain Applications

– Cultural, educational and social multimedia – Multimedia for e‑health and medical applications

1. Ethical, Legal and Societal Aspects

– Fairness, accountability and transparency – Environmental impact of multimedia systems – Reproducibility, interpretability and robustness – Responsible multimedia modelling – Legal and ethical aspects of generative AI – Multimedia research valorisation – Digital transformation

1. Emerging Topics

– Large multimedia models and large language models (LLMs) – Multimodal pre‑training and representation learning – Embodied multimodal systems