Title :
Content-Based Story Segmentation of News Video by Multimodal Analysis
Author :
Liu Hua-Yong ; He Tingting
Author_Institution :
Dept. of Comput. Sci., Central China Normal Univ., Wuhan, China
Abstract :
This paper proposes a method of story segmentation for news video using multimodal analysis. The method detects the topic-caption frames, integrates them with silence clips detection, 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 method is promising and robust.
Keywords :
image segmentation; object detection; video signal processing; content-based story segmentation; multimodal analysis; news video; silence clips detection; topic-caption frame detection; Detection algorithms; Fuzzy systems; Gunshot detection systems; Image segmentation; Indexing; Information analysis; Layout; Radio frequency; Video compression; Videoconference;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.520
