Detecting Spatial-Temporal Subject Caption for News Video

Wang Xihan; Feng Xiaoyi; Peng Jinye

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Detecting Spatial-Temporal Subject Caption for News Video

Wang Xihan 1 #,Feng Xiaoyi 1 *,Peng Jinye 2

1.School of Electronics and Information, Northwestern Polytechnical University，Xi'an　710129

2.School of Science and Technology, Northwestern University, Xi'an　710127

*Correspondence author

#Submitted by

Subject:

Funding: Doctoral Program of Higher Education of China （No.Grant No. 20116102110027）

Opened online:30 November 2015

Accepted by: none

Citation: Wang Xihan,Feng Xiaoyi,Peng Jinye.Detecting Spatial-Temporal Subject Caption for News Video[OL]. [30 November 2015] http://en.paper.edu.cn/en_releasepaper/content/4665038

With the increasing popularity of Internet news video analysis, indexing, and retrieval, locate both spatial and temporal positions of captions in news video becomes a challenging task. Most existing methods have focused on detecting texts in staitc frame and tracking in different frames. In this paper, we propose an effective and efficient system for detecting news video subject caption by using spatial and temproal imformation. An classification scheme is equipped in Our alogrithm and a set of spatial-temporal features specially designed for eliminating false caption candidates. The experimental results on our datasets have shown the robustness and efficiency of the proposed method.

Keywords:Caption detection; SWT;Spatio-temporal

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