Fetching the paper…
Reading the bibliography…
Watching cartoons can be useful for children's intellectual, social and emotional development.
A. Lopes, S. Avila, A. Peixoto, R. Oliveira, and A. Araújo, “A bag-of-features approach based on hue-SIFT descriptor for nude detection,” in EUSIPCO , 2009, pp. 1152–1156
2009
Earlier work this paper cites.
A. Lopes, S. Avila, A. Peixoto, R. Oliveira, M. Coelho, and A. Araújo, “Nude detection in video using bag-of-visual-features,” in SIBGRAPI , 2009, pp. 224–231
2009
Earlier work this paper cites.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “ImageNet classification with deep convolutional neural networks,” in NeurIPS , 2012
2012
Earlier work this paper cites.
S. Avila, D. Moreira, M. Perez, D. Moraes, I. Cota, V. Testoni, E. Valle, S. Goldenstein, and A. Rocha, “RECOD at MediaEval 2014: Violent scenes detection task,” in MediaEval 2014 Workshop , 2014
2014
Earlier work this paper cites.
L. Sifre and S. Mallat, “Rigid-motion scattering for image classification,” Ph.D. dissertation, École Polytechnique, 2014
2014
Earlier work this paper cites.
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, E. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, “Going deeper with convolutions,” in CVPR , 2015, pp. 1–9
2015
Earlier work this paper cites.
Y. LeCun, Y. Bengio, and G. Hinton, “Deep learning,” Nature , vol. 521, no. 7553, pp. 436–444, 2015
2015
Earlier work this paper cites.
T. Khalil, J. I. Bangash, Abdusalam, and A. Adnan, “Low level visio-temporal features for violence detection in cartoon videos,” in INTECH , 2016, pp. 320–325
2016
Earlier work this paper cites.
C. Caetano, S. Avila, W. Schwartz, S. Guimarães, and A. Araújo, “A mid-level video representation based on binary descriptors: A case study for pornography detection,” Neurocomputing , vol. 213, 2016
2016
Earlier work this paper cites.
F. N. Iandola, M. W. Moskewicz, K. Ashraf, S. Han, W. J. Dally, and K. Keutzer, “Squeezenet: Alexnet-level accuracy with 50x fewer parameters and < < 0.5mb model size,” arXiv , vol. 1602.07360, 2016
2016
Cited alongside, same era.
D. Moreira, S. Avila, M. Perez, D. Moraes, V. Testoni, E. Valle, S. Goldenstein, and A. Rocha, “Pornography classification: The hidden clues in video space-time,” Forensic Sci Int , vol. 268, pp. 46–61, 2016
2016
Cited alongside, same era.
“Youtube’s elsagate illuminates the unintended horrors of the digital age,” https://www.forbes.com/sites/danidiplacido/2017/11/28/youtubes-elsagate-illuminates-the-unintended-horrors-of-the-digital-age/ , 2017
2017
Cited alongside, same era.
“The disturbing videos that are tricking children,” http://www.bbc.com/news/blogs-trending-39381889 , 2017
2017
Cited alongside, same era.
M. Khan, M. A. Tahir, and Z. Ahmed, “Detection of violent content in cartoon videos using multimedia content detection techniques,” in INMIC , 2018
2018
Later among the works it cites.
P. Vitorino, S. Avila, M. Perez, and A. Rocha, “Leveraging deep neural networks to fight child pornography in the age of social media,” J Vis Commun Image Represent. , vol. 50, pp. 303–313, 2018
2018
Later among the works it cites.
B. M. Peixoto, S. Avila, Z. Dias, and A. Rocha, “Breaking down violence: A deep-learning strategy to model and classify violence in videos,” in ARES , 2018, pp. 50:1–50:7
2018
Later among the works it cites.
M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L.-C. Chen, “MobileNetV2: Inverted residuals and linear bottlenecks,” in CVPR , 2018, pp. 4510–4520
2018
Later among the works it cites.
B. Zoph, V. Vasudevan, J. Shlens, and Q. V. Le, “Learning transferable architectures for scalable image recognition,” in CVPR , 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
“On youtube kids, startling videos slip past filters,” https://www.nytimes.com/2017/11/04/business/media/youtube-kids-paw-patrol.html , 2017
2017
Cited alongside, same era.
M. Perez, S. Avila, D. Moreira, D. Moraes, V. Testoni, E. Valle, S. Goldenstein, and A. Rocha, “Video pornography detection through deep learning techniques and motion information,” Neurocomputing , vol. 230, pp. 279–293, 2017
2017
Cited alongside, same era.
D. Moreira, S. Avila, M. Perez, D. Moraes, V. Testoni, E. Valle, S. Goldenstein, and A. Rocha, “Temporal robust features for violence detection,” in WACV , 2017, pp. 392–399
2017
Cited alongside, same era.
C. Szegedy, S. Ioffe, V. Vanhoucke, and A. A. Alemi, “Inception-v4, inception-resnet and the impact of residual connections on learning,” in AAAI Conference , 2017, pp. 4278–4284
2017
Cited alongside, same era.
S. Alghowinem, “A safer youtube kids: An extra layer of content filtering using automated multimodal analysis,” in IntelliSys , 2018, pp. 294–308
2018
Cited alongside, same era.
“r/Elsagate: What is Elsagate?” https://www.reddit.com/r/ElsaGate/\comments/6o6baf/what_is_elsagate/
Cited in the paper.
K. J. Daily’s, “Crude parodies of kids movies can’t be stopped,” http://koreajoongangdaily.joins.com/news/article/article.aspx?aid=3043884
Cited in the paper.
2018
Later among the works it cites.
ISO/IEC 14496-10:2014, “Information technology – coding of audio-visual objects – part 10: Advanced video coding,” Standard, 9 , 2018
2018
Later among the works it cites.
A. Gholami, K. Kwon, B. Wu, Z. Tai, X. Yue, P. Jin, S. Zhao, and K. Keutzer, “SqueezeNext: Hardware-aware neural network design,” in CVPR , 2018, pp. 1751–1760
2018
Later among the works it cites.
K. Papadamou, A. Papasavva, S. Zannettou, J. Blackburn, N. Kourtellis, I. Leontiadis et al. , “Disturbed youtube for kids: Characterizing and detecting disturbing content on youtube,” arXiv , vol. 1901.07046, 2019
2019
Closest in time.
D. Moreira, S. Avila, M. Perez, D. Moraes, V. Testoni, E. Valle, S. Goldenstein, and A. Rocha, “Multimodal data fusion for sensitive scene localization,” Information Fusion , vol. 45, pp. 307–323, 2019
2019
Closest in time.