UC3M HIGH LEVEL FEATURE EXTRACTION AT TRECVID 2008
Iván González-Díaz, Darío García-García, Rubén Solera-Ureña, Jaisiel Madrid-Sánchez, Vanessa Gómez-Verdejo, Manel Martínez‐Ramón, Fernando Díaz-de-María, Jerónimo Arenas‐García · TRECVID · 2008
This paper describes experiments carried out by the UC3M team for TRECVID 2008 high-level feature extraction task. Being our first participation in TRECVID, our goal this year has been to develop a modular system to facilitate future developments and incorporation of new functionality (feature extraction and classification modules). We have basically carried out experiments with two different kinds of classification technologies, namely Support Vector Machines (SVMs) and MultiTask Learning (MTL), resulting in the following runs: