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Title of Journal: Pattern Anal Applic

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Abbravation: Pattern Analysis and Applications

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Springer-Verlag

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DOI

10.1002/prac.18420250152

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1433-755X

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Automatic logo transition detection in digital vid

Authors: ChangYu Lu MyungCheol Roh SeungYeon Kang SeongWhan Lee
Publish Date: 2012/03/24
Volume: 15, Issue: 2, Pages: 175-187
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Abstract

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

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