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

被引：0
|
作者：
Zhao Yaqin [1 ]
Zheng Jiaqiang [1 ]
Zhou Hongping [1 ]
机构：
[1] Nanjing Forestry Univ, Coll Mech & Elect Engn, Nanjing 210037, Peoples R China
来源：
PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL IV | 2009年
关键词：
D O I：
10.1109/GCIS.2009.362
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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
引用
收藏
页码：477 / 481
页数：5
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