An approach of webcast event clustering for sport video event annotation
Gyeong-June Hahm, Kee-Seong Cho · 2015
Event detection using webcast text is an important function for providing event based video segmenting services of sport videos. In this paper, an approach of webcast event clustering for sport video event annotation is proposed. In our approach, one of unsupervised learning algorithms, called pLSA (probabilistic latent semantic analysis), is used to classify event types. To decide an appropriate number of event types, lexical pattern analysis is used. By the experimental results, it is observed that our approach could be used to extract event keywords from the basketball webcast texts.