The 18th ACM Multimedia Systems Conference (MMSys 2027), together with its associated workshops, will take place from March 30 to April 2, 2027, in Ghent, Belgium. MMSys 2027 will bring together leading researchers and practitioners from both academia and industry to present and discuss the latest advances in multimedia systems.

Unlike other venues that may focus on isolated aspects of multimedia, MMSys offers an inclusive and interdisciplinary forum covering a broad spectrum of topics, including networking, operating systems, real-time systems, databases, distributed computing, computer vision, and artificial intelligence. The conference fosters dialogue across these fields and provides a unique platform to explore the intersections and synergies among diverse approaches and solutions in multimedia systems research.

Submissions are solicited on all aspects of multimedia systems, including but not limited to:

We follow the ACM Policy on Authorship (updated by the ACM Publications Board on May 14, 2026). Specifically, be advised of the policy on the use of AI below.

Over the past few years, the computing community's use of large language models to support research and authorship has evolved rapidly, becoming a mainstream practice. ACM embraces any new technologies that have the potential to improve the efficiency and productivity of the research enterprise and assist with the authorship process.

At the same time, the use of such technologies, especially when in their infancy, introduces significant risks, including the risk of text and idea plagiarism, the potential for factual inaccuracies, fabricated or unverifiable research artifacts and citations, and the unintentional propagation of bias. These concerns raise questions about transparency, attribution, trust in scientific results, and the integrity of the scholarly record, underscoring the need for clear standards and responsible use of these technologies.

However, as with the use of any technology, especially new technology, it is incumbent upon the user of that technology to ensure its responsible use, and to be accountable for the misuse of that technology.

Rather than attempt to limit the use of Artificial Intelligence (AI) to conduct research or report on the results of that research by placing expectations on authors to disclose all uses of large language models in their Works, this updated Policy attempts to set clear expectations for their responsible use, as follows:

1. When using Artificial Intelligence to conduct research, including the design and methodology of the research project, creation and selection of data sources, designing experiments, generation and collection of data, coding, implementing models, running simulations, data analysis, testing, validating results, deploying software, archiving data and code for reproducibility, or any other aspects of the research lifecycle that are directly relevant to the conclusions of the research underlying the Work, the specific use(s) of AI tools must be described in detail in the methods section of the Work. This includes the creation of artifacts that are directly relevant to the conclusions of the research, such as code, datasets, and charts or figures that rely on the AI tools.
2. When using Artificial Intelligence to assist with writing an ACM submission, ACM no longer requires the disclosure of information regarding the use of AI (as distinct from AI used in the conduct of the research itself, addressed in item 1 above).

All named authors on an ACM submission will be held responsible and accountable for any problematic content contained in the submission regardless of the source of that problematic content:

1. In the event content integrity issues stemming from the use of AI during authorship are identified prior to publication or posting in the ACM Digital Library, ACM reserves the right to reject submissions in their entirety and impose additional penalties.
2. In the event content integrity issues stemming from the use of AI during authorship are identified after publication or posting in the ACM Digital Library, ACM reserves the right to retract the published Work in its entirety.

A retraction notice will be published on the citation page of the published Work, indicating the Work has been retracted because of integrity issues identified after publication, including the inclusion of fraudulent material. ACM may or may not include any reference to the use of Artificial Intelligence in the retraction notice.

Further details regarding the interpretation of ACM's policy on the use of AI tools and illustrative examples are provided in the ACM FAQs.

The reviewing process adheres to the formal reviewing outlined in the ACM Guidelines and Criteria for Evaluation of Submissions for ACM Publications.

Authors of papers submitted in the first round that have received a Revise and Resubmit recommendation are invited to submit a revision of their submission and a response to reviewers by the second submission deadline. Note that author lists are not allowed to be changed after the review period has started. No new authors may be added during the revise and resubmit period, or for the camera-ready version due to potential conflicts of interest (see ACM policy on Conflicts of Interest).