Connectionists: CALL FOR PAPERS,,16th International Symposium on Multimedia Applications and Processing (MMAP’23); May 23 deadline; Web of Science; IEEE: #57573

[Marcin Paprzycki]

CALL FOR PAPERS

16th International Symposium on Multimedia Applications and Processing 
(MMAP’23)

Warsaw, Poland, 17–20 September, 2023
https://fedcsis.org/sessions/css/mmap

Organized within FedCSIS 2023 (IEEE: #57573)
Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions)

KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing: 
DBLP, Scopus and Web of Science; 70 punktów parametrycznych MEiN

Please feel free to forward this announcement to your colleagues and 
associates who could be interested in it.

********************* Statement concerning LLMs *********************

Recognizing developing issue that affects all academic disciplines, we 
would like to state that, in principle, papers that include text 
generated from a large-scale language model (LLM) are prohibited, unless 
the produced text is used within the experimental part of the work.

*********************************************************************

Background and goals

Multimedia, computer vision, graphics, and machine learning 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.

Recent advances in pervasive computers, networks, telecommunications, 
and information technology, along with the proliferation of multimedia 
mobile devices, have stimulated the rapid development of intelligent 
applications. These key technologies, using virtual reality, augmented 
reality, and computational intelligence, are creating a recent 
multimedia revolution that will significantly impact a broad spectrum of 
consumer, business, healthcare, educational and governmental domains. 
Advancements in artificial intelligence resulted in the rapid growth of 
both methods and applications of machine learning approaches in computer 
vision, image processing, and analysis. The development of parallel 
computing capabilities in the first decade of the 21st century that 
boosted the development of deep neural networks became a real 
game-changer in machine vision. The workshop covers a range of AI-based 
theories, methods, algorithms, technologies, and systems for diversified 
and heterogeneous digital multimedia, imaging, computer graphics and 
machine learning areas.

The Multimedia Applications and Processing (MMAP) will provide an 
opportunity for researchers and professionals to discuss present and 
future challenges and potential collaboration for future progress in 
these fields. The MMAP Symposium welcomes submissions of original papers 
concerning all aspects of multimedia, vision, and graphics, ranging from 
concepts and theoretical developments to advanced technologies and 
innovative applications. MMAP 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 abovementioned trends.

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


Topics

Topics of interest are related (but are not limited) to the following areas:

-    multimedia processing:
           + audio, image and video joint processing,
           + cloud computing and multimedia applications,
           + multimedia file systems and databases: indexing, 
recognition and retrieval,
           + multimedia in internet and web-based systems,
           + human computer interaction, interfaces and multimedia,
           + distributed multimedia systems,
           + network and operating system support for multimedia,
           + machine learning for mobile network architectures,
           + trends in multimedia information processing,
           + multimedia ontology and perception for multimedia users,
-    machine vision, image processing and analysis:
           + image enhancement,
           + linear and non-linear filtering,
           + object detection and segmentation,
           + shape analysis,
           + scene understanding, analysis and modeling
           + image acquisition,
           + stereo and multispectral imaging,
           + embedded vision,
           + robotic vision,
           + image models and transforms,
           + modeling of human visual perception,
           + visual knowledge representation and reasoning,
-    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:
           + pattern recognition,
           + deep neural models,
           + convolutional networks,
           + recurrent networks,
           + graph networks,
           + generative adversarial networks,
           + neural style transfer,
           + deep reinforcement learning,
           + big data and multimedia systems,
           + machine learning and computational intelligence for 
information retrieval in multimedia sustems,
           + data mining, warehousing and knowledge extraction,
-    applications:
           + innovative uses of graphic and vision systems,
           + image retrieval,
           + autonomous driving systems,
           + remote sensing,
           + digital microscopy,
           + security and surveyance systems,
           + document analysis,
           + OCR systems,
           + medical applications and computational biology,
           + security in multimedia applications: authentication and 
watermarking,
           + e-learning, e-commerce and e-society applications,
           + intelligent multimedia network applications,
           + future trends in multimedia systems technologies and 
applications.


Best Paper Award

A best paper award will be made for work of high quality presented at 
the MMAP Symposium. Award comprises a certificate for the authors and 
will be announced on time of conference. Selected papers will be invited 
to high IF journals organized for the participants of MMAP.



Submission rules:

-    Authors should submit their papers as Postscript, PDF or MSWord files.
-    The total length of a paper should not exceed 10 pages IEEE style 
(including tables, figures and references). IEEE style templates are 
available here.
-    Papers will be refereed and accepted on the basis of their 
scientific merit and relevance to the workshop.
-    Preprints containing accepted papers will be published on a USB 
memory stick provided to the FedCSIS participants.
-    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 
technical sessions.



Important dates:

+ Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there 
will be no extension)
+ Position paper submission: June 7, 2023
+ Author notification: July 11, 2023
+ Final paper submission and registration: July 31, 2023
+ Payment (early fee deadline): July 26, 2023

MMAP Committee: https://fedcsis.org/sessions/css/mmap/committee