Organizing Chair: José L. Alba-Castro, University of Vigo

AERFAI's Chair: Filiberto Pla, University Jaume I

Organizing Committee:

Secretary:

AERFAISS’12  is organized by three research groups: the Multimedia Technologies Group (GTM) of Vigo University, the Multimodal Information Area of GRADIANT (Galician R&D Center in Advanced Telecommunications) and the Visual Computing and Machine Intelligence Group (VCML) of Porto University.

GTM is a multidisciplinar group very active in image, speech and audio processing that has been also focused during the last 10 years in biometrics, mainly using face, speech and signature traits. GTM has participated in the EU-funded BIOSECURE NoE and several biometrics-related COST actions (COST250: "speaker recognition in telephony", COST275: "Biometrics-based recognition of people over the internet", COST2101: "Biometrics for Identity Documents and Smart-Cards"). Several Spanish national projects carried out by the GTM group had biometric recognition as the main topic: PRESA, AREA, IDENTICA, F2ACCESS. In the area of biometric recognition the GTM group has published more than 50 papers in journals and peer-reviewed conferences and it has launched the BioWebAuth open source project in Sourceforge, dedicated to biometric authentication through internet.

GRADIANT is a private non-profit R&D center established in December 2007 by the three Galician Universities, 11 companies of the ICT sector, and the Galician Government, and based at the University of Vigo Campus. GRADIANT's main activity is focused on technology transfer to the ICT industry and other sectors with needs of innovative ICT, mainly in the fields of signal processing, digital communications, networks, applications, and multimedia processing. Despite its youth, GRADIANT is very active in R&D projects, and particularly, the Multmodal Information Area, in multimedia security, biometrics and videosurveillance.

The VCMI group is a research group of the Telecommunications and Multimedia Unit at INESC TEC (formerly INESC Porto). They pursue a never ending visual information learning system, to empower the next generation of intelligent systems with the capability of reasoning from visual data. VCMI performs research in both fundamental and applied problems in computer vision, image processing, machine learning, and decision support systems anchored in the automatic analysis of visual data.