Multimedia Applications and Processing
(MMAP)

Kraków, Poland, 14-17 September, 2025

Background and goals

Multimedia, have become ubiquitous in modern information systems, creating new challenges for detection, recognition, indexing, access, search, retrieval, automated understanding, and processing, resulting in many applications based on image and signal processing, machine learning and various multimedia technologies.

Key multimedia technologies boosted by rapid development of machine and deep learning models, have created a revolution that significantly impacts a broad spectrum of consumer, business, healthcare, educational and governmental domains. It resulted in the rapid growth of both methods and applications of machine learning approaches in computer vision, image processing, and analysis.

The MMAP Thematic Session will provide an opportunity for researchers and professionals to discuss present and future challenges and potential collaboration for future progress in these fields. We welcome submissions of original papers concerning all aspects of multimedia, vision, and graphics, machine and deep learning, ranging from concepts and theoretical developments to advanced technologies and innovative applications. This Thematic Session invites original, previously unpublished contributions that are not submitted concurrently to a journal or another conference. We welcome papers covering innovative applications, practical usage, and theoretical aspects of the trends mentioned above.

Papers acceptance and publication will be judged based on their relevance to the theme of this Thematic Session, clarity of presentation, originality, and accuracy of results and proposed solutions.

Topics

We welcome contributions across a broad range of topics, including but not limited to:

Multimedia processing:
- audio, image and video joint processing,
- cloud and mobile computing in multimedia applications,
- multimedia databases: indexing, recognition and retrieval,
- human computer interaction, interfaces and multimedia,
- distributed multimedia systems,
- multimedia ontology and perception for multimedia users,
- machine and deep learning in multimedia.
Machine vision, image processing and analysis:
- image enhancement and filtering,
- object detection and segmentation,
- scene understanding, analysis and modeling
- image acquisition,
- stereo and multispectral imaging,
- embedded and robotc vision,
- image models and transforms,
- modeling of human visual perception,
- deep learning models in computer vision.
Visualization and computer graphics:
- computational geometry,
- data-driven image synthesis,
- graphical data presentation,
- computer-aided graphic arts and animation,
- virtual and augmented reality,
- entertainment, personalized systems and games.
Machine learning for multimedia, vision and graphics:
- deep neural models,
- convolutional networks,
- recurrent networks,
- graph networks,
- generative adversarial networks,
- autoncoders,
- transformer,
- deep reinforcement learning.
Applications:
- innovative uses of graphic and vision systems,
- image retrieval,
- autonomous driving systems,
- remote sensing,
- digital microscopy,
- security and surveyance systems,
- document analysis and OCR systems,
- medical applications and computational biology,
- security in multimedia applications: authentication and watermarking,
- e-learning, e-commerce and e-society applications.

Thematic Session organizers

Kwaśnicka, Halina, Wrocław University of Science and Technology, Poland
Stanescu, Liana, University of Craiova, Romania
Iwanowski, Marcin, Warsaw University of Technology, Poland
Śluzek, Andrzej, Warsaw University of Life Sciences, Poland

Contact: mmap@fedcsis.org

Submission rules

Authors should submit their papers as Postscript, PDF or MSWord files.
The total length of a paper should not exceed 12 pages IEEE style (including tables, figures and references). More pages can be added, for an additional fee. IEEE style templates are available here.
Papers will be refereed and accepted on the basis of their scientific merit and relevance to the Topical Area.
Preprints containing accepted papers will be published online.
Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
Conference proceedings will be submitted for indexation according to information here.
Organizers reserve right to move accepted papers between FedCSIS Sessions.