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Relevant bibliographies by topics / Pornographic classification

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Academic literature on the topic 'Pornographic classification'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Pornographic classification"

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Mayasari, Candra Nur, M. Arief Soeleman, and Pujiono Pujiono. "Deteksi Pornografi pada Karakter Animasi 2D dengan KNN (K-Nearest Neighbors) Menggunakan Fitur HSV." COMSERVA Indonesian Jurnal of Community Services and Development 2, no. 08 (2022): 1236–50. http://dx.doi.org/10.59141/comserva.v2i08.462.

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The development of animation technology is very rapid, both in 2D and 3D forms. Most animators often create female animated characters for various fields such as games, commercials or other anime. Along with the development of animation, there are also negative and positive impacts, where the negative impact is the presence of symbols that lead to pornography. Most of the animations containing negative symbols are spread through the internet, which can be accessed easily by anyone, regardless of age. Which can result in addiction to viewing pornography to other negative behaviors. Artificial i

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Mayasari, Candra Nur, M. Arief Soeleman, and Pujiono Pujiono. "Deteksi Pornografi pada Karakter Animasi 2D dengan KNN (K-Nearest Neighbors) Menggunakan Fitur HSV." COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat 2, no. 8 (2022): 1236–50. http://dx.doi.org/10.59141/comserva.v2i8.462.

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The development of animation technology is very rapid, both in 2D and 3D forms. Most animators often create female animated characters for various fields such as games, commercials or other anime. Along with the development of animation, there are also negative and positive impacts, where the negative impact is the presence of symbols that lead to pornography. Most of the animations containing negative symbols are spread through the internet, which can be accessed easily by anyone, regardless of age. Which can result in addiction to viewing pornography to other negative behaviors. Artificial i

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Cai, Zengyu, Liusen Xu, Jianwei Zhang, Yuan Feng, Liang Zhu, and Fangmei Liu. "ViT-DualAtt: An efficient pornographic image classification method based on Vision Transformer with dual attention." Electronic Research Archive 32, no. 12 (2024): 6698–716. https://doi.org/10.3934/era.2024313.

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<p>Pornographic images not only pollute the internet environment, but also potentially harm societal values and the mental health of young people. Therefore, accurately classifying and filtering pornographic images is crucial to maintaining the safety of the online community. In this paper, we propose a novel pornographic image classification model named ViT-DualAtt. The model adopts a CNN-Transformer hierarchical structure, combining the strengths of Convolutional Neural Networks (CNNs) and Transformers to effectively capture and integrate both local and global features, thereby enhanci

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Karavarsamis, Sotiris, Nikos Ntarmos, Konstantinos Blekas, and Ioannis Pitas. "Detecting Pornographic Images by Localizing Skin ROIs." International Journal of Digital Crime and Forensics 5, no. 1 (2013): 39–53. http://dx.doi.org/10.4018/jdcf.2013010103.

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In this study, a novel algorithm for recognizing pornographic images based on the analysis of skin color regions is presented. The skin color information essentially provides Regions of Interest (ROIs). It is demonstrated that the convex hull of these ROIs provides semantically useful information for pornographic image detection. Based on these convex hulls, the authors extract a small set of low-level visual features that are empirically proven to possess discriminative power for pornographic image classification. In this study, the authors consider multi-class pornographic image classificati

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ZAIDAN, A. A., H. ABDUL KARIM, N. N. AHMAD, B. B. ZAIDAN, and A. SALI. "AN AUTOMATED ANTI-PORNOGRAPHY SYSTEM USING A SKIN DETECTOR BASED ON ARTIFICIAL INTELLIGENCE: A REVIEW." International Journal of Pattern Recognition and Artificial Intelligence 27, no. 04 (2013): 1350012. http://dx.doi.org/10.1142/s0218001413500122.

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Unprecedented advances in Internet technologies with multimedia capabilities have enabled pornography and adult content to be widely and freely distributed as easy as a click of a mouse through various means such as YouTube, Facebook, and Tags. Protecting children from unnecessary exposure to adult content has, therefore, become a serious problem in the real world. In particular, the considerable perversion in pornography and the exposure of children and the society to such perversions leads to moral decay. Constructing an appropriate filter for pornographic images is a major concern in modern

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Srisaan, Chetneti. "A CLASSIFICATION OF INTERNET PORNOGRAPHIC IMAGES." International Journal of Electronic Commerce Studies 7, no. 1 (2016): 95–104. http://dx.doi.org/10.7903/ijecs.1408.

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Zaidan, A. A., H. Abdul Karim, N. N. Ahmad, B. B. Zaidan, and M. L. Mat Kiah. "Robust Pornography Classification Solving the Image Size Variation Problem Based on Multi-Agent Learning." Journal of Circuits, Systems and Computers 24, no. 02 (2014): 1550023. http://dx.doi.org/10.1142/s0218126615500231.

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This study proposed a pornography classifier using multi-agent learning as a combination of the Bayesian method using color features extracted from skin detection based on the YCbCr color space and the back-propagation neural network method using shape features also extracted from skin detection. The classification of pornographic images was made more robust to the variation of images despite size engineering problems. Previous studies failed to achieve such robustness. Findings showed that the proposed multi-agent learning-based pornography classifier has produced significant TP and TN averag

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Subaeki, Beki, Yana Aditia Gerhana, Meta Barokatul Karomah Rusyana, and Khaerul Manaf. "Digital Image Processing Using YCbCr Colour Space and Neuro Fuzzy to Identify Pornography." Jurnal Online Informatika 8, no. 1 (2023): 122–30. http://dx.doi.org/10.15575/join.v8i1.1070.

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Pornography is a severe problem in Indonesia, apart from drugs. This can be seen based on data from the Ministry of Communication and Informatics in 2021 which found 1.1 million pornographic content online. The increasing number of access to pornographic content sites on the internet can prove this. Several studies have been conducted to produce preventive formulas. However, this research flow has not been effective in solving the problem. This is because the results of the identification value in the output image obtained are not quite right. This study proposes a procedure for identifying po

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Phan, Dinh-Duy, Quang-Huy Nguyen, Thanh-Thien Nguyen, Hoang-Loc Tran, and Duc-Lung Vu. "Joint inter-intra representation learning for pornographic video classification." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 3 (2022): 1481. http://dx.doi.org/10.11591/ijeecs.v25.i3.pp1481-1488.

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This paper addresses video inter-intra similarity retrieval for pornographic classification. The main approaching method is obtaining the internal representation and external similarity between a single unlabeled video and batches of labeled videos, then combining together to determine its label. For the internal representation, we extracted inner features within frames and clustered them to find the representative centroid as the intra-feature. For the external similarity, we utilized a similarity video learning named ViSiL to calculate distance score between two videos using chamfer similari

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Phan, Dinh-Duy, Quang-Huy Nguyen, Thanh-Thien Nguyen, Hoang-Loc Tran, and Duc-Lung Vu. "Joint inter-intra representation learning for pornographic video classification." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 3 (2022): 1481–88. https://doi.org/10.11591/ijeecs.v25.i3.pp1481-1488.

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This paper addresses video inter-intra similarity retrieval for pornographic classification. The main approaching method is obtaining the internal representation and external similarity between a single unlabeled video and batches of labeled videos, then combining together to determine its label. For the internal representation, we extracted inner features within frames and clustered them to find the representative centroid as the intra-feature. For the external similarity, we utilized a similarity video learning named ViSiL to calculate distance score between two videos using chamfer similari

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Dissertations / Theses on the topic "Pornographic classification"

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Yamoun, Lahcen. "Une approche basée sur des transformers et un mécanisme d'attention pour la classification des sites web et la détection de contenu pornographique." Electronic Thesis or Diss., Reims, 2025. http://www.theses.fr/2025REIMS002.

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La croissance exponentielle d'Internet a conduit à une diversité et un volume de contenu en ligne sans précédent, ce qui pose des défis importants pour une catégorisation et un filtrage efficaces du contenu. Parmi ceux-ci, la détection et la classification de contenus inappropriés, tels que la pornographie, sont essentielles pour des applications de contrôle parental, des environnements numériques sécurisés et de conformité réglementaire. Cette thèse aborde le problème multidimensionnel de la classification du contenu Web, en se concentrant sur l'intégration de données textuelles et visuelles

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Schmidt, Anja, and Nina Schumacher. "Pornographie." Universität Leipzig, 2013. https://ul.qucosa.de/id/qucosa%3A15421.

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Etymologisch leitet sich der Begriff Pornographie aus dem Griechischen von 'pornográphos' (πορνογράφος), 'über Huren schreibend', ab. Der heutige Gebrauch des Begriffs ist vielfältig. Inhaltlich-funktionalen Definitionen zufolge liegt Pornographie dann vor, wenn nackte Körper bei sexuellen Handlungen direkt und detailliert zu sehen sind. Pornografie ist Austragungsort gesellschaftlicher Debatten über die Legitimität der öffentlichen Thematisierung von Sexualität, über Gewalt (gegen Frauen) und über Geschlechterbilder. Seit den 1990er Jahren setzte verstärkt die Akademisierung des Themas ein.

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Stardust, Zahra, Kath Albury, Daniel Joyce, and Ramaswami Harindranath. "Alternative Pornographies, Regulatory Fantasies, Resistance Politics." Thesis, University of New South Wales, 2019. https://www.unsworks.unsw.edu.au/permalink/f/5gm2j3/unsworks_59501.

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Alternative pornographies position themselves as contributing to a revolutionary and democratising social and political movement, with the capacity to change our relationships to sex via interventions in the representational and production practices of porn. Meanwhile, current trends in regulation focus upon preventing minors’ ‘exposure’ to pornography, prohibiting ‘extreme pornography’, and making condom use compulsory. Australia has a world-renowned queer and feminist porn movement, but onerous criminal, classification and customs legislation restrict its production, screening and sale. In t

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CHEN, YI-PO, and 陳宜伯. "A Hyperlinks Based Pornographic Web Sites Classification System." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/11816345170330389752.

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碩士<br>中華大學<br>工業管理學系碩士班<br>98<br>As Internet prevails and the users’ age is decreasing, filtering improper contents of Web sites becomes increasingly important. There are generally two methods for the filteri- ng purpose, including keyword matching and uniform resource locator (URL) identifying. Both methods have their pros and cons. For example, the former might entail with a high error rate, while the latter suffers from the difficulty of determining whether the content of a Web site specified by a certain URL is appropriate. This research focuses on the problem of the latter method where th

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Lung-Hao, Lee. "A Web Content Classification System for Pornographic Blacklist Generation." 2005. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0009-0112200611334050.

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Lee, Lung-Hao, and 李龍豪. "A Web Content Classification System for Pornographic Blacklist Generation." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/65694617909003403939.

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碩士<br>元智大學<br>資訊管理研究所<br>93<br>The proliferation of the Web has allowed users to access a growing number of inappropriate materials (e.g. porn, drug, violence) on the Internet. Thus, web content rating and filtering has received intensive attention. This study proposes and implements a chi-square based method in classifying web pages to generate a pornographic blacklist. An indicator value of pornography is calculated for each web page under investigation using a chi-square combining scheme on the porn tendencies of tokens contained in each individual web page. A web page is classified into on

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MEI, CHIU KUEI, and 邱桂美. "The Study of the Pornographic Information Classification System: The Case Study of Avcity Porno WebSite." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/3536q7.

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碩士<br>中華大學<br>行政管理學系碩士班<br>101<br>The study aims at the domestic internet pornography and tries to find how to make controlling measures and criminal investigation, hoping through the actual case study and related literature analysis to provide a better operating model for establishing a information classification system. The main purposes of the thesis are as followings: 1. For the recently internet pornography types and related behavioral development, how to make controlling measures and related policies. 2. Through the criminal case study to highlight the need of establishing a pornog

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Chiu, Jen-Min, and 邱建明. "Internet Pornography Filtering With Combination ofImage-Based and Text-Based Classification." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/23117637910153498134.

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碩士<br>國立中央大學<br>資訊工程研究所<br>92<br>With the explosive growing of Internet, information and knowledge may proliferating wide-spreadly and efficiently. And the computer education is available to all in recent years, let more and more people access varirty material in Internet, But at the same time, it also implyed the flooding of inappropriate Internet content. In the unfortified enviroment, some objectionable topic such as pornography, violence, and hate messages, will penetrate to those who shouldn’t access these web sites. Thus, it is nessessary that apply filting scheme to offensive content, w

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Books on the topic "Pornographic classification"

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Representatives, New Zealand Parliament House of. Report on the Internal Affairs and Local Government Committee on the Films, Videos, and Publications Classification Bill. House of Representatives, 1993.

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New Zealand. Parliament. Government Administration Committee. Inquiry into the operation of the Films, Videos, and Publications Classification Act 1993 and related issues: Report of the Government Administration Committee. House of Representatives, 2003.

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Book chapters on the topic "Pornographic classification"

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Tran, Hoang-Loc, Quang-Huy Nguyen, Dinh-Duy Phan, Thanh-Thien Nguyen, Khac-Ngoc-Khoi Nguyen, and Duc-Lung Vu. "Additional Learning on Object Detection: A Novel Approach in Pornography Classification." In Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4370-2_22.

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Suvorov, Roman, Ilya Sochenkov, and Ilya Tikhomirov. "Method for Pornography Filtering in the WEB Based on Automatic Classification and Natural Language Processing." In Speech and Computer. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01931-4_31.

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Antonia, Schönbrodt. "Classification of Static Poses Based on Key Point Detection for Application of Incriminated Image Files." In Informatik aktuell. Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-43705-3_6.

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ZusammenfassungThe role of artificial intelligence, particularly in enhancing decision-making processes and facilitating automation, has become indispensable in today’s society. Law enforcement agencies have used the findings of this research for several years to analyze the ever-growing volumes of data. This approach owns an important role in the detection of child and adolescent pornography. Research conducted in this field has traditionally been dependent on the findings from skin filtering studies. However, some scientific publications and empirical studies reveal insufficient classificati

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"Is Post-Pornographic the New Erotic? A Case-Study." In Desire, Performance, and Classification: Critical Perspectives on the Erotic. BRILL, 2013. http://dx.doi.org/10.1163/9781848881204_014.

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Hammami, Mohamed, Youssef Chahir, and Liming Chen. "A Data Mining Driven Approach for Web Classification and Filtering Based on Multimodal Content Analysis." In Business Data Communications and Networking. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59904-274-9.ch002.

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Along with the ever growing Web is the proliferation of objectionable content, such as sex, violence, racism, and so forth. We need efficient tools for classifying and filtering undesirable Web content. In this chapter, we investigate this problem through WebGuard, our automatic machine-learning-based pornographic Web site classification and filtering system. Facing the Internet more and more visual and multimedia as exemplified by pornographic Web sites, we focus here our attention on the use of skin color-related visual content-based analysis along with textual and structural content based a

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Hammami, Mohamed, Youssef Chahir, and Liming Chen. "A Data Mining Driven Approach for Web Classification and Filtering Based on Multimodal Content Analysis." In Data Warehousing and Mining. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-951-9.ch117.

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Along with the ever growing Web is the proliferation of objectionable content, such as sex, violence, racism, and so forth. We need efficient tools for classifying and filtering undesirable Web content. In this chapter, we investigate this problem through WebGuard, our automatic machine-learning-based pornographic Web site classification and filtering system. Facing the Internet more and more visual and multimedia as exemplified by pornographic Web sites, we focus here our attention on the use of skin color-related visual content-based analysis along with textual and structural content based a

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M., Kiruthigha, and Senthil Velan S. "Deep Learning Approaches to Overcome Challenges in Forensics." In Advances in Digital Crime, Forensics, and Cyber Terrorism. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4900-1.ch005.

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Cyber forensics deals with collecting, extracting, analysing, and finally reporting the evidence of a crime. Typically investigating a crime takes time. Involving deep learning methods in cyber forensics can speed up the investigation procedure. Deep learning incorporates areas like image classification, morphing, and behaviour analysis. Forensics happens where data is. People share their activities, pictures, videos, and locations visited on the readily available platform, social media. An abundance of information available on social networking platforms renders them a favourite of cybercrimi

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Franks, Mary Anne. "The Criminalization of Non-consensual Pornography in the United States." In Criminalizing Intimate Image Abuse. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780198877813.003.0009.

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Abstract The legal, technological, and social landscape of non-consensual pornography in the United States has changed dramatically over the last decade. The number of US states criminalizing the abuse has increased from three to forty-eight; major social media and internet companies have banned non-consensual pornography from their platforms and services; and non-consensual pornography, now also commonly referred to as ‘non-consensual intimate imagery’ or ‘image-based sexual abuse’, is widely recognized as a form of abuse. This transformation is largely attributable to the efforts of courageo

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Sacco, Daniel. "The Banning of Fat Girl in Ontario." In Film Regulation in a Cultural Context. Edinburgh University Press, 2023. http://dx.doi.org/10.3366/edinburgh/9781474482387.003.0004.

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This chapter examines the controversy surrounding the release of Catherine Breillat’s Fat Girl (2001) in Ontario, Canada. After refusing classification to this critically lauded film on the grounds that it constituted “child pornography” (underage characters were shown engaged in sexual activity), the Ontario Film Review Board drew scrutiny from the Canadian press, as well as several lawyers, filmmakers, and politicians who condemned the apparent lack of discretion in downgrading sophisticated artistic expression to the level of rough pornography. The lenient treatment of the film elsewhere, i

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"Mainstream, Alternative and Amateur: Brief Notes on Categories of Classification of Online Pornography." In Desire, Performance, and Classification: Critical Perspectives on the Erotic. BRILL, 2013. http://dx.doi.org/10.1163/9781848881204_013.

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Conference papers on the topic "Pornographic classification"

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Tabone, André, Kenneth Camilleri, Alexandra Bonnici, Stefania Cristina, Reuben Farrugia, and Mark Borg. "Pornographic content classification using deep-learning." In DocEng '21: ACM Symposium on Document Engineering 2021. ACM, 2021. http://dx.doi.org/10.1145/3469096.3469867.

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Agastya, I. Made Artha, Arief Setyanto, Kusrini, and Dini Oktarina Dwi Handayani. "Convolutional Neural Network for Pornographic Images Classification." In 2018 Fourth International Conference on Advances in Computing, Communication & Automation (ICACCA). IEEE, 2018. http://dx.doi.org/10.1109/icaccaf.2018.8776843.

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Yu, Jung-Jae, and Seung-Wan Han. "Pornographic video classification using fast motion Features." In 2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV). IEEE, 2015. http://dx.doi.org/10.1109/fcv.2015.7103714.

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Zhou, Kailong, Li Zhuo, Zhen Geng, Jing Zhang, and Xiao Guang Li. "Convolutional Neural Networks Based Pornographic Image Classification." In 2016 IEEE Second International Conference on Multimedia Big Data (BigMM). IEEE, 2016. http://dx.doi.org/10.1109/bigmm.2016.29.

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Mulyana, Heru, I. Gede Pasek Suta Wijaya, and Ramaditia Dwiyansaputra. "Pornographic images classification using CNN methods on Android-based smartphone devices." In COMPUTATIONAL INTELLIGENCE AND NETWORK SECURITY. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0124205.

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Tian, Chunna, Xiangnan Zhang, Xinbo Gao, and Wei Wei. "Pornographic image classification based on top down color-saliency based BoW representation." In 2014 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC). IEEE, 2014. http://dx.doi.org/10.1109/spac.2014.6982698.

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Gao, Zhong, Guanming Lu, Hao Dong, Shutong Wang, Haibo Wang, and Xiaopei Wei. "Applying a Novel Combined Classifier for Hypertext Classification in Pornographic Web Filtering." In 2008 International Conference on Internet Computing in Science and Engineering (ICICSE). IEEE, 2008. http://dx.doi.org/10.1109/icicse.2008.88.

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Swardiana, I. Wayan Pandu, Arief Setyanto, and Sudarmawan. "Comparison of Pornographic Image Classification based on Texture, Color, and Shape Features." In 2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE). IEEE, 2019. http://dx.doi.org/10.1109/icitisee48480.2019.9003842.

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Izzah, Nur, Indra Budi, and Samuel Louvan. "Classification of pornographic content on Twitter using support vector machine and Naive Bayes." In 2018 4th International Conference on Computer and Technology Applications (ICCTA). IEEE, 2018. http://dx.doi.org/10.1109/cata.2018.8398674.

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Moser, Anton, Marlies Rybnicek, and Daniel Haslinger. "Challenges and Limitations Concerning Automatic Child Pornography Classification." In International Conference on Computer Vision Theory and Applications. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005344904920497.

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