News Video Story Segmentation Based on Topic Caption Text and Audio Information

Author

Yaqin, Zhao ; Xianzhong, Zhou ; Huiming, Chen

Author_Institution

Coll. of Mech. & Electron. Eng., Nanjing Forestry Univ., Nanjing, China

Volume

4

fYear

2009

fDate

19-21 May 2009

Firstpage

482

Lastpage

486

Abstract

This paper presents a novel scheme of news video story segmentation with the combination of topic caption frame and audio information. First of all, a new method of topic caption frame detection is proposed in which the topic caption frame is detected by features extraction from frame differences, the topic caption lasting time and times of caption transition in the same shot. Afterwards, the silence clip between two continuous news story boundaries is detected according to short-time average energy and short-time average zero-crossing rate. Moreover, one news video is segmented into a series of news story clips on the basis of topic caption text and silence clip. The experimental results showed that the proposed method could effectively detect topic caption text and news story clip boundaries for news video.

Keywords

audio signal processing; feature extraction; image segmentation; text analysis; video signal processing; audio information; caption text; feature extraction; frame detection; short-time average energy; short-time average zero-crossing rate; video story segmentation; Educational institutions; Engineering management; Feature extraction; Forestry; Gunshot detection systems; Hafnium; Histograms; Image segmentation; Intelligent systems; TV;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, 2009. GCIS '09. WRI Global Congress on

Conference_Location

Xiamen

Print_ISBN

978-0-7695-3571-5

Type

conf

DOI

10.1109/GCIS.2009.359

Filename

5209254