Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326723
