By Topic

News Video Clip Retrieval Based on Topic Caption Text and Audio Information

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Zhao Yaqin ; Coll. of Mech. & Electron. Eng., Nanjing Forestry Univ., Nanjing, China ; Zheng Jiaqiang ; Zhou Hongping

This paper presents a novel scheme for news video structure indexing and news story clip retrieving. Instead of using low-level features, the method is built upon the combination of topic content and visual features. First of all, a new method of topic caption text 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, and the dynamic split-merge strategy is used to segment individual character. Afterwards, one news video is segmented into a series of news story clips on the basis of topic caption text and silence clip. Finally, a reasonable model is built to retrieve news story clips by both visual similar degree and topic content relativity between two news clips with strong semantic meaning. The experimental results showed that the proposed method could effectively detect and recognize topic caption text and index news story clips.

Published in:

2009 WRI Global Congress on Intelligent Systems  (Volume:4 )

Date of Conference:

19-21 May 2009