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: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/142572
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Institution: Nanyang Technological University
Language: English