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Automatic logo transition detection in digital video contents

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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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Acknowledgments

This work was supported by the World Class University Program through the National Research Foundation of Korea funded by the Ministry of Education, Science, and Technology, under Grant R31-10008.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Korea University, Anam-dong, Seongbuk-ku, Seoul, 136-713, Korea

    Chang-Yu Lu, Myung-Cheol Roh & Seung-Yeon Kang

  2. Department of Brain and Cognitive Engineering, Korea University, Anam-dong, Seongbuk-ku, Seoul, 136-713, Korea

    Seong-Whan Lee

Authors
  1. Chang-Yu Lu
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  2. Myung-Cheol Roh
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  3. Seung-Yeon Kang
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  4. Seong-Whan Lee
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Correspondence to Seong-Whan Lee.

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Lu, CY., Roh, MC., Kang, SY. et al. Automatic logo transition detection in digital video contents. Pattern Anal Applic 15, 175–187 (2012). https://doi.org/10.1007/s10044-012-0267-9

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