Machine Learning Approaches for Film Censorship: A Comprehensive Survey of Techniques
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1320-2_21
Reference34 articles.
1. Khan UA et al (2017) Movies tags extraction using deep learning. In: 2017 14th IEEE international conference on advanced video and signal based surveillance (AVSS). IEEE
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3. Haque M (2022) Detection and classification of sensitive audio-visual content for automated film censorship and rating
4. Afsha S, Haque M, Nyeem H (2022) Machine learning models for content classification in film censorship and rating. In: 2022 International conference on innovations in science, engineering and technology (ICISET). IEEE
5. Shafaei M, Smailis C, Kakadiaris I, Solorio T (2021) A case study of deep learning-based multi-modal methods for labelling the presence of questionable content in movie trailers. In: Proceedings of the international conference on recent advances in natural language processing (RANLP 2021), pp 1297–1307
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