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An Efficient Calibration Method for 3D Nonlinear and Nonorthogonal Scanning Probe in Cylindrical CMM Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Movie Genre Filtering for Automated Parental Control

Authors : Zuo Jun Yong, Wai Lam Hoo

Published in: Intelligent Robotics and Applications

Publisher: Springer International Publishing

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Abstract

With cloud robotics, particularly robotic vision available wi-thin a household, human are able to live a convenient and safer life in an ambient assisted living environment. Recent advances in computational intelligence including neural network improves the computational capability of the robotic vision to better understand the environment. Recently, internet hoaxes that affected the social community greatly have raised strong awareness among public in parental control and the content that the youngster can view. Therefore, this paper focuses on filtering movies or videos that is not suitable for youngster by attempting to identify movie genre. Movie genre classification has been investigated in recent years, but there exist noise in normal videos referred as generic frames, as mentioned in [1], that makes differentiation movies with similar frame difficult. A filtering approach is proposed in this paper in order to identify generic frames within the video and discard them from genre classification process, in order to improve genre classification performance. Experiment shows that the filtering approach are able to improve action genre class, but have difficulties and improving other genre classes.

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Metadata
Title
Movie Genre Filtering for Automated Parental Control
Authors
Zuo Jun Yong
Wai Lam Hoo
Copyright Year
2020
Book
Intelligent Robotics and Applications

Print ISBN: 978-3-030-66644-6

Electronic ISBN: 978-3-030-66645-3

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-66645-3_21

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