Near-Duplicate Image Detection System Using Coarse-to-Fine Matching Scheme Based on Global and Local CNN Features

Near-Duplicate Image Detection System Using Coarse-to-Fine Matching Scheme Based on Global and Local CNN Features

Due to the great success of convolutional neural networks (CNNs) in the area of computer vision, the existing methods tend to match the global or local CNN features between images for near-duplicate image detection. However, global CNN features are not robust enough to combat background clutter and...

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Bibliographic Details
Main Authors: Zhili Zhou, Kunde Lin, Yi Cao, Ching-Nung Yang, Yuling Liu
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Mathematics
Subjects:
convolutional feature maps
deep convolutional neural network
CNN features
sum-pooling
near-duplicate image detection
digital forensics
Online Access:https://www.mdpi.com/2227-7390/8/4/644

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