| Paper: | SS-12.1 | ||
| Session: | Information Fusion for Multimedia Annotation and Retrieval | ||
| Time: | Friday, May 21, 13:00 - 13:17 | ||
| Presentation: | Special Session Lecture | ||
| Topic: | Special Sessions: Information Fusion for Multimedia Annotation and Retrieval | ||
| Title: | A GENERIC NEWS STORY SEGMENTATION SYSTEM AND ITS EVALUATION | ||
| Authors: | Neil O'Hare; Dublin City University | ||
| Alan Smeaton; Dublin City University | |||
| Csaba Czirjek; Dublin City University | |||
| Noel O'Connor; Dublin City University | |||
| Noel Murphy; Dublin City University | |||
| Abstract: | This paper presents an approach to automatically segmenting broadcast TV news programmes into individual news stories. We first segment the programme into individual shots, and then a number of analysis tools are run on the programme to extract features to represent each shot. The results of these feature extraction tools are then combined using a Support Vector Machine trained to detect anchorperson shots. A news broadcast can then be segmented into individual stories based on the location of the anchorperson shots within the programme. In this paper we use one generic system to segment programmes from two different broadcasters, illustrating the robustness of our feature extraction process to the production styles of different broadcasters. | ||
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