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Semantic Video Retrieval System Based on Ant Colony Algorithm and Relevant Feedback

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Emerging Research in Web Information Systems and Mining (WISM 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 238))

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Abstract

How to effectively use the user’s relevance feedback information to semantic-based video retrieval is an important and challenging problem.This paper presents a relevance feedback video retrieval method based on ant colony algorithm, which is the traditional relevance feedback methods for an improved video retrieval. With the idea of ant colony algorithm, using user feedback to establish the video key frame of the semantic web and the iterative method used to retrieve the video. Experiments show that this method is not only effective, but storage capacity is small, little calculation.

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Author information

Authors and Affiliations

  1. Zheng Zhou Institute Of Aeronautical Industry Management, Zheng Zhou, China

    Jianjun Liao & Jianhui Chen

  2. Henan University of Technology hut, Zheng Zhou, China

    Xiaoming Liu

  3. Wanfang College of Science & Technology HPU, Zheng Zhou, China

    Xiaoning Li

Authors
  1. Jianjun Liao
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  2. Jianhui Chen
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  3. Xiaoming Liu
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  4. Xiaoning Li
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, University of Macau, Taipa, Macau, China

    Gong Zhiguo

  2. School of Computer, Shanghai University, 200444, Shanghai, China

    Xiangfeng Luo

  3. School of Computer and Software, Taiyuan University of Technology, 030024, Taiyuan, China

    Junjie Chen

  4. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan, Hong Kong SAR, China

    Fu Lee Wang

  5. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

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© 2011 Springer-Verlag Berlin Heidelberg

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Liao, J., Chen, J., Liu, X., Li, X. (2011). Semantic Video Retrieval System Based on Ant Colony Algorithm and Relevant Feedback. In: Zhiguo, G., Luo, X., Chen, J., Wang, F.L., Lei, J. (eds) Emerging Research in Web Information Systems and Mining. WISM 2011. Communications in Computer and Information Science, vol 238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24273-1_43

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  • DOI: https://doi.org/10.1007/978-3-642-24273-1_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24272-4

  • Online ISBN: 978-3-642-24273-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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