
5-Minute Video Clip Contest (5-MICC)- Secure Multimodal Behaviometrics
Call for Videos
The Signal Processing Society is pleased to announce the 5-Minute Video Clip Contest (5-MICC) at ICASSP in the Greek Island of Rhodes, June 04 – 10, 2023. The 5-MICC aims to encourage the signal processing community to explain concepts in an innovative way using a video. The winners will be selected based on the quality of their project, novelty, clarity of presentation, and creativity.
The topic chosen this year is multimodal biometrics and behavior analysis, also known as multimodal behavioral biometrics or behaviometrics. Facial biometrics have recently gained popularity thanks to the development of accurate recognition models and the introduction of powerful and compact cameras, such as those in smartphones. Facial motion, though less used, is known to contain behavior information related to age and identity, while speech is a widely used biometric. This competition aims to highlight the potential of signal processing within a multimodal framework to design trustworthy, secured multimodal behaviometrics that can operate in everyday life.
(Download the full details document)
Full team eligibility criteria is available in the official 5-MICC document on the SPS website.
Important Dates
1. Submission of 30-Second Trailers:
Submission deadline: March 14, 2023
Announcement of the best 10 teams: March 19, 2023
2. Submission of the Full 5-Minute Video:
Submission deadline: April 9, 2023
Announcement of the 3 best videos: April 14, 2023
Voting opens.
3. Final Contest at ICASSP 2023 in Rhode Island, Greece
Conference dates: June 4-9, 2023
Videos available on public voting platform:1 May – 5 June, 2023. The final ranking will be decided by the judging panel, also taking into account the popular vote. The winners and final team ranking will be announced during the conference.
Register
>> Registration link for 5-MICC Contest ICASSP 2023
For full competition details, eligibility requirements, and team registration, visit the 5-MICC page on the IEEE Signal Processing Society website