In this work we present FOVEA, a system for video sequence indexing based on the identity of appearing subjects. We will detail the features of the single component modules, devoting special attention to classification and clustering. The system presents a number of peculiarities that distinguish it from existing ones. Among these, the account for the concomitant appearance of two subjects in the same clip, and the use of such information in the process of identity mapping. FOVEA was tested on 16 video clips with results that assess both its efficacy and efficiency. © 2011 IEEE.
FOVEA: A video Frame Organizer Via identity Extraction and Analysis / DE MARSICO, Maria; Michele, Nappi; Daniel, Riccio. - STAMPA. - (2011), pp. 1-4. (Intervento presentato al convegno 2011 2nd IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, BioMS 2011 tenutosi a Milan nel 28 September 2011 through 28 September 2011) [10.1109/bioms.2011.6052381].
FOVEA: A video Frame Organizer Via identity Extraction and Analysis
DE MARSICO, Maria;
2011
Abstract
In this work we present FOVEA, a system for video sequence indexing based on the identity of appearing subjects. We will detail the features of the single component modules, devoting special attention to classification and clustering. The system presents a number of peculiarities that distinguish it from existing ones. Among these, the account for the concomitant appearance of two subjects in the same clip, and the use of such information in the process of identity mapping. FOVEA was tested on 16 video clips with results that assess both its efficacy and efficiency. © 2011 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
