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Knowledge-based Video Retrieval System Using Korean Closed-caption  

조정원 (한양대학교 전자통신전파공학과)
정승도 (한양대학교 전자통신전파공학)
최병욱 (한양대학교 정보통신대학 정보통신학부)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.41, no.3, 2004 , pp. 115-124 More about this Journal
Abstract
The content-based retrieval using low-level features can hardly provide the retrieval result that corresponds with conceptual demand of user for intelligent retrieval. Video includes not only moving picture data, but also audio or closed-caption data. Knowledge-based video retrieval is able to provide the retrieval result that corresponds with conceptual demand of user because of performing automatic indexing with such a variety data. In this paper, we present the knowledge-based video retrieval system using Korean closed-caption. The closed-caption is indexed by Korean keyword extraction system including the morphological analysis process. As a result, we are able to retrieve the video by using keyword from the indexing database. In the experiment, we have applied the proposed method to news video with closed-caption generated by Korean stenographic system, and have empirically confirmed that the proposed method provides the retrieval result that corresponds with more meaningful conceptual demand of user.
Keywords
Automatic indexing; Closed-caption; Time-alignment; Video retrieval;
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