- ISOMER: Informative Segment Observations for Multimedia Event Recounting
- 2014 ACM International Conference on Multimedia Information Retrieval
- Book/source title
- ICMR Glasgow 2014: proceedings of the ACM International Conference on Multimedia Retrieval 2014: April 1st-4th, 2014, Glasgow, UK
- Pages (from-to)
- New York: Association for Computing Machinery
- Document type
- Conference contribution
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
This paper describes a system for multimedia event detection and recounting. The goal is to detect a high level event class in unconstrained web videos and generate event oriented summarization for display to users. For this purpose, we detect informative segments and collect observations for them, leading to our ISOMER system. We combine a large collection of both low level and semantic level visual and audio features for event detection. For event recounting, we propose a novel approach to identify event oriented discriminative video segments and their descriptions with a linear SVM event classifier. User friendly concepts including objects, actions, scenes, speech and optical character recognition are used in generating descriptions. We also develop several mapping and filtering strategies to cope with noisy concept detectors. Our system performed competitively in the TRECVID 2013 Multimedia Event Detection task with near 100,000 videos and was the highest performer in TRECVID 2013 Multimedia Event Recounting task.
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