Xie, LexingHe, Xuming2025-12-112025-12-11Scopus:84905234451ARIES:U3488905xPUB19036https://dspace-test.anu.edu.au/handle/1885/733760099In this paper, we describe the system developed by the Australian National University (ANU), National ICT Australia (NICTA) for multimedia event detection applied to the TRECVID-2011 video retrieval benchmark. Our system uses five audio and visual features, leverages training events with cascaded classifier training, and sees performance improvements with spatial semantic features. A summary of our submitted runs can be found below: The best run from our system ranks fourth in mean-ActualNDC, and third in mean- F1 metric, averaged over all ten events among sixty runs from nineteen teams.en2011