UEC at TRECVID 2008 High Level Feature Task

In this paper, we describe our approach and results for high-level feature extraction task (HLF) at TRECVID2008. This year, our focus is to develop a framework which fuses a number of features effectively. In our paper, color , face, motion, text, and local pattern features were extracted. After that, a simplymodified version of Adaboost algorithm was implemented as a late fusion to combine all these features. Description of our submitted runs is as follows:

• Type: Conference
• Year: 2008
• Where: TRECVID
• Authors: Zhiyuan Tang, Keiji Yanai
• Keywords: Error Rate, Fusion Phase, Internet Technology, Local Pattern Features, TRECVID 2008