Tokyo Tech at TRECVID 2008

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 high-level feature (HLF) extraction task, we employed a framework using a tree-structured codebook and a node selection technique last year. This year we focused on the position information of each object-related HLF. During the training phase, we applied our method not on the whole key-frame images, but on the regions in the image which contain the annotated HLF only. From the evaluation of TRECVID2008, the inferred average precisions of

• Type: Conference
• Year: 2008
• Where: TRECVID
• Authors: Shanshan Hao, Yusuke Yoshizawa, Koji Yamasaki, Koichi Shinoda, Sadaoki Furui
• Keywords: Inferred Average Precisions, Internet Technology, Node Selection Technique, Surveillance Event Detection, TRECVID 2008