News story segmentation based on contextual information

被引：0

作者：

Ji, Zhong ^{[1
]}

Su, Yu-Ting ^{[1
]}

Song, Xing-Guang ^{[1
]}

Ji, Xu ^{[1
]}

Hua, Rui ^{[1
]}

机构：

[1] School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China

来源：

Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology | 2009年 / 42卷 / 02期

关键词：

Image segmentation;

D O I：

暂无

中图分类号：

O211 [概率论（几率论、或然率论）];

学科分类号：

摘要：

To effectively retrieve and manage news video archive, a news video story segmentation method based on contextual information was proposed. Firstly, news video shot sequence was transformed into corresponding keyword sequences by using multimodality information, such as caption changing, audio type, and video shot category. And then news video was partitioned into stories with a powerful sequence segmentation model, conditional random fields. The algorithm was applied to multiple test videos, and the test results prove the effectiveness of the method, achieving a better performance with recall of 72.9% and precision of 88.4%.

引用

页码：153 / 158

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