Computer graphics identification combining convolutional and recurrent neural networks

Computer graphics identification combining convolutional and recurrent neural networks

In this letter, a deep-learning-based pipeline is proposed to distinguish photographics (PGs) from computer-graphics (CGs) combining convolutional neural network (CNN) and recurrent neural network (RNN). In the preprocessing stage, the color space transformation and the Schmid filter bank are utiliz...

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Bibliographic Details
Main Authors: He, Peisong, Jiang, Xinghao, Sun, Tanfeng, Li, Haoliang
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Engineering::Electrical and electronic engineering
Computer-graphics (CGs)
Convolutional Neural Network (CNN)
Online Access:https://hdl.handle.net/10356/142572

Internet

https://hdl.handle.net/10356/142572

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