Image Retrieval Method Based on Image Feature Fusion and Discrete Cosine Transform

Image Retrieval Method Based on Image Feature Fusion and Discrete Cosine Transform

This paper presents a new content-based image retrieval (CBIR) method based on image feature fusion. The deep features are extracted from object-centric and place-centric deep networks. The discrete cosine transform (DCT) solves the strong correlation of deep features and reduces dimensions. The sha...

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Bibliographic Details
Main Authors: DaYou Jiang, Jongweon Kim
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
content-based image retrieval
feature fusion
deep features
discrete cosine transform
singular value decomposition
principal components analysis
Online Access:https://www.mdpi.com/2076-3417/11/12/5701

Internet

https://www.mdpi.com/2076-3417/11/12/5701

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