Design of multi-layer perceptrons via joint filled function and genetic algorithm approach for video forensics

Pages: 1 - 4
Published: Dec 1, 2016
Abstract
This paper proposes a direct design of a multi-layer perceptron via a nonconvex optimization with application to the camera identification for the video forensics. Here, very low bit rate videos with time varying overall noise pattern statistics compressed using different video coders are considered. First, the content removal based on the discrete fractional Fourier transform is performed for video forensics. Then, the camera identification is...
Paper Details
Title
Design of multi-layer perceptrons via joint filled function and genetic algorithm approach for video forensics
Published Date
Dec 1, 2016
Journal
Pages
1 - 4
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