In this paper, first we describe rushes summarization system which is made this year for the TRECVID2008 BBC rushes task. Our aim this year is to build up base system using minimu...
High-level feature extraction We describe our system for the task of HLF extraction in TRECVID 2008. Features at different granularities are extracted to describe visual content o...
Zan Gao, Zhicheng Zhao, Tao Liu, Xiaoming Nan, Mei...
Bilkent University Multimedia Database Group (BILMDG) participated in two tasks at TRECVID 2008: content-based copy detection (CBCD) and high-level feature extraction (FE). Mostly...
This paper reports the participation of INRIA IMEDIA team in TRECVID 2008 Video Copy Detection task. Three runs were submitted using video-only content. Two of them correspond to t...
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 numbe...