Kraków / Ostrava / Quebec City / Barcelona / Ravenna / Minneapolis / New York / Sydney / Daejeon / Washington / DC / Firenze / Cambridge / Graz / Reading / Lisbon / Vigo / Lyon / Marseille / Florence / Genova / /
Company
MIT Press / Image Understanding Systems Laboratory / Sounds Laboratory / Sound Laboratory / /
Country
Italy / Poland / France / Austria / United States / Canada / Australia / Portugal / Korea / Spain / Czech Republic / / /
Facility
OpenCV library / University of Trento / University of Verona / University of Sassari / /
IndustryTerm
face-recognition algorithms / biometric systems / eye tracking devices / preferenceaware view recommendation systems / forensic technology context / mean shift segmentation algorithm / face detection algorithm / appropriate technologies / energy / social media / computational media aesthetics fit / social web / search queries / web browsing history patterns / Internet-based biometrical traits / /
MarketIndex
set 200 / /
Organization
MIT / University of Verona / Verona / Vision Image Processing / University of Sassari / U.S. Securities and Exchange Commission / University of Trento / Department of Computer Science / Pattern Analysis / /
Person
Alessandro Perina / A. Abaza / M. Nixon / C. Hebert / Y. Zhu / A. Ross / T. Tan / Cristina Segalin / Cybern / Marco Cristani / Y. Wang / M. Harrison / Santos Sierra / A. Vinciarelli / V / R. Chellappa / Patrizio Campisi / /
Position
Team Leader and member / Researcher / General / vol / chair / associate editor / /
Product
M-16 / /
ProvinceOrState
Quebec / Indiana / New York / Colorado / /
Technology
bioinformatics / Viola-Jones face detection algorithm / html / Image Processing / mean shift segmentation algorithm / DNA Chip / smartphones / Data Mining / PCA-based face-recognition algorithms / Digital Object Identifier / /
364 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. 9, NO. 3, MARCH 2014 Faved! Biometrics: Tell Me Which Image You Like and I’ll Tell You Who You Are