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Information 2018, 9(2), 38; https://doi.org/10.3390/info9020038

Local Patch Vectors Encoded by Fisher Vectors for Image Classification

1
Institute of Intelligence Science and Technology, Hohai University, Nanjing 211100, China
2
School of Information Science and Technology, Yancheng Teachers University, Yancheng 224002, China
3
College of Education, Anqing Normal University, Anqing 246133, China
4
Department of Mathematics and Physics, Hefei University, Hefei 230601, China
*
Author to whom correspondence should be addressed.
Received: 22 December 2017 / Revised: 30 January 2018 / Accepted: 6 February 2018 / Published: 9 February 2018
(This article belongs to the Section Artificial Intelligence)
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Abstract

The objective of this work is image classification, whose purpose is to group images into corresponding semantic categories. Four contributions are made as follows: (i) For computational simplicity and efficiency, we directly adopt raw image patch vectors as local descriptors encoded by Fisher vector (FV) subsequently; (ii) For obtaining representative local features within the FV encoding framework, we compare and analyze three typical sampling strategies: random sampling, saliency-based sampling and dense sampling; (iii) In order to embed both global and local spatial information into local features, we construct an improved spatial geometry structure which shows good performance; (iv) For reducing the storage and CPU costs of high dimensional vectors, we adopt a new feature selection method based on supervised mutual information (MI), which chooses features by an importance sorting algorithm. We report experimental results on dataset STL-10. It shows very promising performance with this simple and efficient framework compared to conventional methods. View Full-Text
Keywords: image classification; fisher vector; mutual information; feature selection image classification; fisher vector; mutual information; feature selection
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Chen, S.; Liu, H.; Zeng, X.; Qian, S.; Wei, W.; Wu, G.; Duan, B. Local Patch Vectors Encoded by Fisher Vectors for Image Classification. Information 2018, 9, 38.

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