DocumentCode
2448365
Title
Using Multimodal Analysis for Story Segmentation of News Video
Author
Hua-Yong Liu ; Tingting He
Author_Institution
Dept. of Comput. Sci., Central China Normal Univ., Wuhan, China
fYear
2009
fDate
25-26 April 2009
Firstpage
124
Lastpage
127
Abstract
The research proposes an approach of story segmentation for news video using multimodal analysis. The approach detects the topic-caption frames, and integrates them with silence clips detection, as well as shot segmentation to locate news story boundaries. On test data with 135,400 frames, the accuracy rate 87.9% and the recall rate 98.7% are obtained. The experimental results show the approach is valid and robust.
Keywords
image segmentation; video signal processing; multimodal analysis; news video; silence clip detection; story segmentation; topic-caption frame; Artificial intelligence; Change detection algorithms; Detection algorithms; Gunshot detection systems; Indexing; Information analysis; Layout; Video compression; Video sharing; Videoconference;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location
Hainan Island
Print_ISBN
978-0-7695-3615-6
Type
conf
DOI
10.1109/JCAI.2009.20
Filename
5158955
Link To Document