Video summarization is one of the most efficient methods for retrieval from large video archives. An automated method is described for generating TV program trailers (short video clips to advertise the program). Our method uses introductory text from an electronic program guide, which is a short description of the program highlights. We assume that the video segments corresponding to closed caption sentences with similar expressions to those of the introductory text contain appealing scenes, and our system generates a program trailer by linking these segments together. The AdaBoost algorithm is used to learn the textual characteristics of the introductory text. The proposed method was used to summarize actual TV programs to test its effectiveness.
