Automated sip detection in naturally-evoked video
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Multimedia Tools and Applications
Event detection and recognition for semantic annotation of video
Multimedia Tools and Applications
Semantic event detection in baseball videos based on a multi-output hidden Markov model
Proceedings of the 2011 ACM Symposium on Applied Computing
Long-View player detection framework algorithm in broadcast soccer videos
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
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A significant application area for automated video analysis technology is the generation of personalized highlights of sports events. Sports games are always composed of a range of significant events. Automatically detecting these events in a sports video can enable users to interactively select their own highlights. In this paper we propose a semantic event detection approach based on Perception Concepts and Finite State Machines to automatically detect significant events within soccer video. Firstly we define a Perception Concept set for soccer videos based on identifiable feature elements within a soccer video. Secondly we design PC-FSM models to describe semantic events in soccer videos. A particular strength of this approach is that users are able to design their own semantic events and transfer event detection into graph matching. Experimental results based on recorded soccer broadcasts are used to illustrate the potential of this approach.