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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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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