A retrospective event detection method in news video |
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| Authors: | Ling Jian Lian Yi-qun Zhuang Yue-ting |
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| Institution: | 1.Institute of Artificial Intelligence,Zhejiang University,Hangzhou,China;2.Department of Electronic Information,Zhejiang Institute of Media and Communication,Hangzhou,China |
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| Abstract: | In this work we present a probabilistic learning approach to model video news story for retrospective event detection (RED). In this approach, both content and time information on a news video is utilized to transcribe the news story into terms, which are divided into classes by their semantics. Then a probabilistic model, composed of sub-models corresponding to the semantic classes respectively, is proposed. The model’s parameters are estimated by EM algorithm. Experiments showed that the proposed approach has better detection resolution. |
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