A generic news story segmentation system and its evaluation

Author

O´Hare, Neil ; Smeaton, Alan F. ; Czirjek, Csaba ; O´Connor, Noel ; Murphy, Noel

Author_Institution

Centre for Digital Video Process., Dublin City Univ., Ireland

Volume

3

fYear

2004

fDate

17-21 May 2004

Lastpage

1028

Abstract

The paper presents an approach to segmenting broadcast TV news programmes automatically 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. 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.

Keywords

face recognition; feature extraction; image segmentation; learning (artificial intelligence); object detection; support vector machines; television broadcasting; video signal processing; anchorperson shot detection; broadcast TV news programmes; face detection; feature extraction tools; generic news story segmentation system; support vector machine; Asset management; Cameras; Digital video broadcasting; Feature extraction; Gunshot detection systems; Multimedia communication; Robustness; Support vector machines; TV broadcasting; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

Conference_Location

Montreal, Que.

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1326723

Filename

1326723