The NTU Toolkit and Framework for High-Level Feature Detection at TRECVID 2007

In TRECVID 2007 high-level feature (HLF) detection, we extend the well-known LIBSVM and develop a toolkit specifically for HLF detection. The package shortens the learning time and provides a framework for researchers to easily conduct experiments. We efficiently and effectively aggregate detectors of training past data to achieve better performances. We propose post-processing techniques, concept reranking and temporal filtering, to exploit inter-concept contextual relationship and inter-shot temporal dependency. The overall improvement is 46% over that by our baseline in terms of infMAP.

• Type: Conference
• Year: 2007
• Where: TRECVID
• Authors: Ming-Fang Weng, Chun-Kang Chen, Yi-Hsuan Yang, Rong-En Fan, Yu-Ting Hsieh, Yung-Yu Chuang, Winston H. Hsu, Chih-Jen Lin
• Keywords: TRECVID 2007, TRECVID 2008