Automatic logo transition detection in digital video contents

被引：0
|
作者：
Lu, Chang-Yu [2 ]
Roh, Myung-Cheol [2 ]
Kang, Seung-Yeon [2 ]
Lee, Seong-Whan [1 ]
机构：
[1] Korea Univ, Dept Brain & Cognit Engn, Seoul 136713, South Korea
[2] Korea Univ, Dept Comp Sci & Engn, Seoul 136713, South Korea
来源：
PATTERN ANALYSIS AND APPLICATIONS | 2012年 / 15卷 / 02期
基金：
新加坡国家研究基金会;
关键词：
Logo transition detection; Logo detection and recognition; Sub-video merging; Video segmentation based on logos; EXTRACTION; TEXT;
D O I：
10.1007/s10044-012-0267-9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The amount of user created contents has been increasing rapidly and is associated with a serious copyright problem. Automatic logo detection and recognition in videos is a natural and efficient way of overcoming the copyright problem. However, logos have varying characteristics, which make logo detection and recognition very difficult. Moreover, logo transitions between two different logos exist in one video comprising several video contents. This disrupts the automatic logo detection and recognition. Therefore, in order to improve logo detection, it is necessary to take into account the logo transitions explicitly. This paper proposes an accurate logo transition detection method for recognizing logos in digital video contents. The proposed method accurately segments a video according to logo and efficiently recognizes various types of logos. The experimental results demonstrate the effectiveness of the proposed method for logo detection and video segmentation according to logo.
引用
收藏
页码：175 / 187
页数：13
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