News video retrieval using automatic indexing of korean closed-caption

Authors:
Jungwon Cho;Seungdo Jeong;Byunguk Choi
Affiliations:
Department of Computer Education, College of Education, Cheju National University, Jeju-si, Jeju-do, Korea;Multimedia Laboratory, Department of Electrical and Computer Engineering, Hanyang University, Seoul, Korea;Division of Information and Communications, Hanyang University, Seoul, Korea
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

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Abstract

Knowledge-based video retrieval is able to provide the retrieval result that corresponds with conceptual demand of user because of performing automatic indexing with audio-visual data, closed-caption, and so on. In this paper, we present the automatic indexing method of Korean closed-caption for knowledge-based video retrieval and the retrieval scheme using the indexed database. In the experiment, we have applied the proposed method to news video with the closed-caption generated by Korean stenographic system, and have empirically confirmed that the proposed method could provide the retrieval result that corresponds with more meaningful conceptual demand of user.