AT&T RESEARCH AT TRECVID 2007
Zhu Liu, Eric Zavesky, David C. Gibbon, Behzad Shahraray, Patrick Haffner · 2006
ATT more training data that includes 2004, 2005, and 2006 SBD data; no SVM boundary adjustment; training SVM with high generalization capability (e.g., a smaller value of C). As a pilot task, rushes summarization aims to show the main objects and events in the raw material with least redundancy while maximizing the usability. We proposed a multimodal rushes summarization method that relies on both face and speech information. Evaluation results show that the new SBD system is highly effective and the human centric rushes summarization approach is concise and easy to understand.