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Multimodal based highlight detection in broadcast soccer video (2007)
| Content Provider | CiteSeerX |
|---|---|
| Author | Zhang, Yifan Liu, Qingshan Cheng, Jian Lu, Hanqing |
| Description | In this paper, we propose an effective fusion scheme of audio and visual modals for highlight detection in broadcast soccer videos. The Adaboost learning is adopted to learn some discriminating audio features for some special audio classification. The logo-based replay shot detection is used for mid-level visual semantic analysis. A finite state machine is utilized to integrate the audio and visual analysis result for further highlight detection. Experiments conducted on several real-world soccer game videos show that the proposed method has an encouraging performance. Keywords: Highlight detection; broadcast video; multimodal analysis 1. |
| File Format | |
| Language | English |
| Publisher Date | 2007-01-01 |
| Publisher Institution | in Proceedings of Asia-Pacific Workshop on Visual Information Processing |
| Access Restriction | Open |
| Subject Keyword | Adaboost Learning Highlight Detection Special Audio Classification Logo-based Replay Shot Detection Visual Analysis Result Visual Modal Encouraging Performance Effective Fusion Scheme Mid-level Visual Semantic Analysis Broadcast Soccer Video Discriminating Audio Feature Finite State Machine |
| Content Type | Text |
| Resource Type | Article |
