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2023 | OriginalPaper | Chapter

Inappropriate Visual Content Detection Based on the Joint Training Strategy

Authors : Xuejing Wang, Ju Liu, Xiaoxi Liu, Yafeng Li, Luyue Yu

Published in: Signal and Information Processing, Networking and Computers

Publisher: Springer Nature Singapore

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Abstract

In the information age, massive Internet data brings convenience to us. But there is some inappropriate visual content (pornography, violence, politics, terrorism, etc.), among which the dissemination of pornographic content has an adverse influence, especially for children and minors. Therefore, we present an inappropriate visual content detection method based on the joint training strategy in an end-to-end manner, which realizes the identification and location of inappropriate visual content while retaining the base class (80 categories in the COCO dataset) detection. To solve the difficulty of sample labeling, in this paper we propose a combined training strategy of detection and classification. And the Focal loss is used to improve the sample imbalance in the network sharing training. The algorithm can achieve multi-label output and has good recognition accuracy. Finally, a more challenging dataset INVC of inappropriate visual content is proposed, which includes three types of sample data in complex backgrounds at different scales, such as indoor, beach, street, etc.

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Literature
1.
go back to reference Short, M., Black, L., Smith, A., Wetterneck, C., Wells, D.: A review of internet pornography use research: methodology and content from the past 10 years. Cyberpsychol. Behav. Soc. Netw. 15(1), 13–23 (2012)CrossRef Short, M., Black, L., Smith, A., Wetterneck, C., Wells, D.: A review of internet pornography use research: methodology and content from the past 10 years. Cyberpsychol. Behav. Soc. Netw. 15(1), 13–23 (2012)CrossRef
2.
go back to reference Nuraisha, S., Pratama, F.I., Budianita, A., Soeleman, M.A.: Implementation of K-NN based on histogram at image recognition for pornography detection. In: Proceedings of the 2017 International Seminar on Application for Technology of Information and Communication (iSemantic), Semarang, Indonesia, pp. 5–10 (2017) Nuraisha, S., Pratama, F.I., Budianita, A., Soeleman, M.A.: Implementation of K-NN based on histogram at image recognition for pornography detection. In: Proceedings of the 2017 International Seminar on Application for Technology of Information and Communication (iSemantic), Semarang, Indonesia, pp. 5–10 (2017)
3.
go back to reference Garcia, M.B., Revano, T.F., Habal, B.G.M., Contreras, J.O., Enriquez, J.B.R.: A pornographic image and video filtering application using optimized nudity recognition and detection algorithm. In: Proceedings of the 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), Baguio City, Philippines, pp. 1–5 (2018) Garcia, M.B., Revano, T.F., Habal, B.G.M., Contreras, J.O., Enriquez, J.B.R.: A pornographic image and video filtering application using optimized nudity recognition and detection algorithm. In: Proceedings of the 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), Baguio City, Philippines, pp. 1–5 (2018)
4.
go back to reference Santos, C., Dos Santos, E.M., Souto, E.: Nudity detection based on image zoning. In: Proceedings of the 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA), Montreal, QC, Canada, pp. 1098–1103 (2012) Santos, C., Dos Santos, E.M., Souto, E.: Nudity detection based on image zoning. In: Proceedings of the 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA), Montreal, QC, Canada, pp. 1098–1103 (2012)
5.
go back to reference Moreira, D.C., Fechine, J.M.: A machine learning-based forensic discriminator of pornographic and bikini images. In: Proceedings of the 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, pp. 1–8 (2018) Moreira, D.C., Fechine, J.M.: A machine learning-based forensic discriminator of pornographic and bikini images. In: Proceedings of the 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, pp. 1–8 (2018)
6.
go back to reference Wehrmann, J., Simões, G.S., Barros, R.C., Cavalcante, V.F.: Adult content detection in videos with convolutional and recurrent neural networks. Neurocomputing 272, 432–438 (2018)CrossRef Wehrmann, J., Simões, G.S., Barros, R.C., Cavalcante, V.F.: Adult content detection in videos with convolutional and recurrent neural networks. Neurocomputing 272, 432–438 (2018)CrossRef
8.
go back to reference More, M.D., Souza, D.M., Wehrmann, J., Barros, R.C.: Seamless nudity censorship: an image-to-image translation approach based on adversarial training. In: International Joint Conference on Neural Networks (IJCNN), pp. 1–8. IEEE (2018) More, M.D., Souza, D.M., Wehrmann, J., Barros, R.C.: Seamless nudity censorship: an image-to-image translation approach based on adversarial training. In: International Joint Conference on Neural Networks (IJCNN), pp. 1–8. IEEE (2018)
9.
go back to reference Lambert, J., Liu, Z., Sener, O., Hays, J., Koltun, V.: MSeg: a composite dataset for multi-domain semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2020) Lambert, J., Liu, Z., Sener, O., Hays, J., Koltun, V.: MSeg: a composite dataset for multi-domain semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
10.
go back to reference He, T., Zhang, Z., Zhang, H., Zhang, Z., Xie, J., Li, M.: Bag of tricks for image classification with convolutional neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 558–567 (2019) He, T., Zhang, Z., Zhang, H., Zhang, Z., Xie, J., Li, M.: Bag of tricks for image classification with convolutional neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 558–567 (2019)
12.
go back to reference Lin, T., Goyal, P., Girshick, R., He, K., Dollar, P.: Focal loss for dense object detection. IEEE Trans. Pattern Anal. Mach. Intell. 42(2), 318–327 (2020)CrossRef Lin, T., Goyal, P., Girshick, R., He, K., Dollar, P.: Focal loss for dense object detection. IEEE Trans. Pattern Anal. Mach. Intell. 42(2), 318–327 (2020)CrossRef
14.
go back to reference Lin, T., Dollár, P., Girshick, R., He, K., Hariharan, B., Belongie, S.: Feature pyramid networks for object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2117–2125 (2017) Lin, T., Dollár, P., Girshick, R., He, K., Hariharan, B., Belongie, S.: Feature pyramid networks for object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2117–2125 (2017)
15.
go back to reference Redmon, J., Farhadi, A.: YOLO9000: better, faster, stronger. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6517–6525 (2017) Redmon, J., Farhadi, A.: YOLO9000: better, faster, stronger. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6517–6525 (2017)
Metadata
Title
Inappropriate Visual Content Detection Based on the Joint Training Strategy
Authors
Xuejing Wang
Ju Liu
Xiaoxi Liu
Yafeng Li
Luyue Yu
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-3387-5_131