Id: trecvid2008.tex 197 2008-10-23 13:28:48Z alyr Date: 2008-10-23 15:28:48 +0200 (Thu, 23 Oct 2008) Type Run Description MAP/mean infAP HLF Official H utcwiprimw146 Our prelimina...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Hen...
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...
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...
In this paper, we describe the IBM Research system for indexing, analysis, and retrieval of video as applied to the TREC-2008 video retrieval benchmark. This year, focus of the sy...
Apostol Natsev, John R. Smith, Jelena Tesic, Lexin...
This paper presents our experiments on TRECVID workshop 2008. This year we participated in two challenging tasks, rushes video summarisation and video copy detection tasks. We stu...
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...
The Tokyo Institute of Technology team participated in the high-level feature extraction, surveillance event detection pilot and Rushes summarization tasks for TRECVID2008. In the...
Shanshan Hao, Yusuke Yoshizawa, Koji Yamasaki, Koi...
This paper reports our experiments for TRECVID 2008 tasks: high level feature extraction, search and contentbased copy detection. For the high level feature extraction task, we use...
Duy-Dinh Le, Xiaomeng Wu, Shin'ichi Satoh, Sheetal...