標題: A novel approach for semantic event extraction from sports webcast text
作者: Chen, Chun-Min
Chen, Ling-Hwei
資訊工程學系
Department of Computer Science
關鍵字: Semantic event detection;Webcast text;Information retrieval;Video retrieval
公開日期: 1-Aug-2014
摘要: Semantic event extraction is helpful for video annotation and retrieval. For sports video, most previous works detect events by video content itself. Some useful external knowledge has been researched recently. In this paper, we proposed an unsupervised approach to extract semantic events from sports webcast text. First, unrelated words in the descriptions of webcast text are filtered out, and then the filtered descriptions are clustered into significant event categories. Finally, the keywords for each event category are extracted. According to our experimental results, the proposed approach actually extracts significant text events, which can be used for further video indexing and summarization. Furthermore, we also provide a hierarchical searching scheme for text event retrieval.
URI: http://dx.doi.org/10.1007/s11042-012-1323-6
http://hdl.handle.net/11536/24851
ISSN: 1380-7501
DOI: 10.1007/s11042-012-1323-6
期刊: MULTIMEDIA TOOLS AND APPLICATIONS
Volume: 71
Issue: 3
起始頁: 1937
結束頁: 1952
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