The workshop is 22nd 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.
We strive to bring the cutting-edge scientific contributions of our authors to the widest possible audience of researchers around the globe. Therefore, we are pleased to announce that IEEE Signal Processing Society (SPS) is offering MMSP attendance as complimentary to any attendees who are not covering a paper. Find out more about the registration here.
The workshop will consist of the following live sessions: plenaries, oral and poster sessions, session breakrooms, and a panel. In addition, participants are invited to virtually join places in Finland and Tampere and exercise with happy Finnish couches.
The conference will be run through an on-demand virtual platform (another site), where links to sessions and papers will be provided and off-line Q&A forum for discussions with authors will be operated. You can find the full technical program here.
The topics of the papers include:
- 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
Find out more here.
Kuvituskuva: ⒸLaura Vanzo, Visit Tampere
Järjestäjä
IEEE, IEEE Signal Processing Society, Tampereen yliopisto ja CIVIT.
Lisätietoja
mmsp2020@tuni.fi