Title :
News story segmentation in the Fischlar video indexing system
Author :
Connor, N.O. ; Czirjek, C. ; Deasy, S. ; Marlow, S. ; Murphy, N. ; Smeaton, A.
Author_Institution :
Centre for Digital Video Process., Dublin City Univ., Ireland
fDate :
6/23/1905 12:00:00 AM
Abstract :
This paper presents an approach to segmenting individual news stories in broadcast news programmes. The approach first performs shot boundary detection and keyframe extraction on the programme. Shots are then clustered into groups based on their colour and temporal similarity. The clustering process is controlled using the groups´ statistics. After clustering, a set of criteria are applied and groups are successively eliminated in order to converge upon a set of anchorperson groups. The temporal locations of the shots in these anchorperson groups are then used to segment the programme in terms of individual news items. This work is carried out within the context of a complete video indexing, browsing and retrieval system
Keywords :
feature extraction; image colour analysis; image retrieval; image segmentation; pattern clustering; video signal processing; Fischlar video indexing system; anchorperson groups; colour similarity; group clustering; keyframe extraction; news story segmentation; shot boundary detection; temporal locations; temporal similarity; video browsing; video retrieval; Cities and towns; Content management; Digital video broadcasting; Gunshot detection systems; Indexing; Layout; Process control; Statistics; TV; Technology management;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958140
