The workshop is the 23rd in the series, organized by the Multimedia Signal Processing Technical Committee of the IEEE Signal Processing Society (SPS), with the aim to bring together researchers and practitioners from academia and industry, passionate about multimedia signal processing, to share their knowledge, exchange ideas, explore future research directions and network.

Prospective authors are invited to submit regular and special session papers (full length, 4-6 pages) and demo papers (1 page). Conference content will be submitted for inclusion into IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. Papers are solicited in, but not limited to, the following areas:

Image / video analysis
Image / video compression
Image / video restoration and processing
Machine listening for analysis of acoustic scenes
Speech / music / audio processing
Sound source localization and separation
Multimedia communications and networking
Multimedia quality assessment
Internet of Things (IoT)-based multimedia systems and applications
Multimedia hardware design
Multimedia databases and digital libraries
Multimedia security and forensics
Multimedia interaction
Multimedia big data analytics
Deep learning for multimedia
Multimedia processing for tele-medicine and health care
Augmented, mixed and virtual reality
Multimedia systems for emerging applications

Timeline:
Special Session / Grand Challenge proposal submission: 30th April 2021
Regular and Special Session paper submission: 28th May 2021
Notification of paper acceptance: 16th July 2021
Demo paper submission: 13th August 2021

Keynote speakers:
Tuomas Virtanen, “Acoustic scene analysis – machine learning tasks, models, data, and applications”, Professor of Signal Processing, Tampere University, Finland
Oliver Schreer, “Current State and Advances of Volumetric Video”, Head of Immersive Media & Communication research group, Vision & Imaging Technologies department, Fraunhofer HHI & Associate Professor, Technical University Berlin


General chairs:
Atanas Gotchev, Tampere University, Finland
Dong Tian, InterDigital, USA

More information: https://mmsp2021.org
General enquiries: mmsp2021@tuni.fi
Twitter: @ieeeMMSP