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Research on Model and Method of Relevance Feedback Mechanism in Image Retrieval

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Parallel Architecture, Algorithm and Programming (PAAP 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 729))

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Abstract

Considering the limitations of image retrieval method based on computer center, the introduction of relevance feedback mechanism increasingly shows its importance in image retrieval. This paper makes a deep research on some commonly used relevance feedback models and feedback methods in image retrieval. The purpose is to improve the query efficiency and retrieval precision of image retrieval.

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Acknowledgment

We thanks for the Support of Hainan province natural science fund project (Nos. 614250, 20156219, 20156231, 617175) and Haikou college of economic field research project (Nos. Hjyj2015009, Hjky16-23, Hjkz13-07).

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Authors and Affiliations

  1. Haikou College of Economics, Haikou, 571127, Hainan, China

    Xinying Li

  2. Hainan University, Haikou, 570228, Hainan, China

    Taijun Li

  3. Hainan Normal University, Haikou, 570100, Hainan, China

    Feng Li & Hongli Wu

Authors
  1. Xinying Li
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  2. Taijun Li
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  3. Feng Li
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  4. Hongli Wu
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Corresponding author

Correspondence to Taijun Li .

Editor information

Editors and Affiliations

  1. Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China

    Guoliang Chen

  2. Sun Yat-sen University, Guangzhou, Guangdong, China

    Hong Shen

  3. Hainan University, Haikou, Hainan, China

    Mingrui Chen

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© 2017 Springer Nature Singapore Pte Ltd

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Li, X., Li, T., Li, F., Wu, H. (2017). Research on Model and Method of Relevance Feedback Mechanism in Image Retrieval. In: Chen, G., Shen, H., Chen, M. (eds) Parallel Architecture, Algorithm and Programming. PAAP 2017. Communications in Computer and Information Science, vol 729. Springer, Singapore. https://doi.org/10.1007/978-981-10-6442-5_38

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  • DOI: https://doi.org/10.1007/978-981-10-6442-5_38

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6441-8

  • Online ISBN: 978-981-10-6442-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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