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Offline Video Object Retrieval Method Based on Color Features

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Computational Intelligence and Intelligent Systems (ISICA 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 575))

Abstract

At present, video retrieval has been applied to many fields, for example, security monitoring. With the development of the technique of content-based video retrieval, video retrieval will be applied to more areas. The article mainly do research on offline video retrieval based on color features and realize offline video color features retrieval. The research realized Algorithm for Video Objective Tracking based on Adaptive Hybrid Difference and was focused on designing color features range calculation scheme with the combination of RGB and HSL color model. And extract and judge the color feature of the blob in the video then analyze and process the retrieval result. According to the result of this test, the success rate of detection of the system have reached ninety percentage upon. The realization of offline video object retrieval system based on the color features can decrease the time of Manual Retrieval to the color features object in the video, help people filter information and have benefits on the realization of intelligent and automatic video retrieval.

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Author information

Authors and Affiliations

  1. Huizhou University, Huizhou, China

    Zhaoquan Cai, Hui Hu & Wei Luo

  2. South China University of Technology, Guangzhou, China

    Yihui Liang

Authors
  1. Zhaoquan Cai
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  2. Yihui Liang
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  3. Hui Hu
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  4. Wei Luo
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Corresponding author

Correspondence to Yihui Liang .

Editor information

Editors and Affiliations

  1. College of Mathematics and Informatics, The South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. School of Computer Science, Guangzhou University, Guangzhou, China

    Jin Li

  3. School of Computer Science and Engineeri, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

  4. Dept. of Informatics, University of Salerno, Fisciano, Italy

    Aniello Castiglione

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© 2016 Springer Science+Business Media Singapore

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Cai, Z., Liang, Y., Hu, H., Luo, W. (2016). Offline Video Object Retrieval Method Based on Color Features. In: Li, K., Li, J., Liu, Y., Castiglione, A. (eds) Computational Intelligence and Intelligent Systems. ISICA 2015. Communications in Computer and Information Science, vol 575. Springer, Singapore. https://doi.org/10.1007/978-981-10-0356-1_53

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  • DOI: https://doi.org/10.1007/978-981-10-0356-1_53

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0355-4

  • Online ISBN: 978-981-10-0356-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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