Title :
Multi-criteria video segmentation for TV news
Author :
Chen, L. ; Faudemay, P.
Author_Institution :
Centre de Recherches de R., HEUDIASYC, Compiegne, France
Abstract :
In the near future, personalized TV news programs should become a relevant method to access TV news. They will be produced from selecting and reordering “stories” contained in news programs. Automatic segmentation of news programs into story is an important step to reach this goal. We present a set rules for such segmentation. Methods for implementing these rules are based on image and sound analysis
Keywords :
Internet; image segmentation; video signal processing; TV news; automatic segmentation; image analysis; multicriteria video segmentation; news programs; personalized TV news programs; set rules; sound analysis; IP networks; Image analysis; Image segmentation; Internet; Multimedia communication; Production; Speaker recognition; TV broadcasting; Teletext; Throughput;
Conference_Titel :
Multimedia Signal Processing, 1997., IEEE First Workshop on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-7803-3780-8
DOI :
10.1109/MMSP.1997.602655
