SRI-Sarnoff AURORA System at TRECVID 2013 Multimedia Event Detection and Recounting.
Jingen Liu, Hui Cheng, Omar Javed, Qian Yu, Ishani Chakraborty, Weiyu Zhang, Ajay Divakaran, Harpreet Sawhney, James W Allan, Raghaven Manmatha, John F. Foley, Mubarak A. Shah, Afshin Dehghan, Michael Witbrock, Jon Curtis, Gerald H Friedland · TRECVID · 2013
In Multimedia Event Detection 2013 evaluation, SRI Aurora team participated in EK100, EK10, and EK0 tasks with full system evaluation. We submitted 15 runs for both pre-specified events (PS-Events) and ad-hoc events (AH-Events). The majority of them achieved satisfactory results. In particular, thanks to the well-designed concept features, our EK10 system works consistently much better for both PSEvents and AH-Events. By creating the concept language model from the web source, we build our EK0 system to perform event detection without training examples. This system achieved promising results on PS-Events. In MER task, we developed an approach to provide a breakdown of the evidences of why the MED decision has been made by exploring the SVM-based event detector. Furthermore, we designed evidence specific verification and detection to reduce uncertainty and improve key evidence discovery.