Nassar, S. (2024). Futuristic Scenarios: Utilization of AI Technological Settings to Foster the Filmmaking Visual Creation & Mass Production. International Design Journal, 14(2), 207-212. doi: 10.21608/idj.2024.258931.1111
Samah Nassar. "Futuristic Scenarios: Utilization of AI Technological Settings to Foster the Filmmaking Visual Creation & Mass Production". International Design Journal, 14, 2, 2024, 207-212. doi: 10.21608/idj.2024.258931.1111
Nassar, S. (2024). 'Futuristic Scenarios: Utilization of AI Technological Settings to Foster the Filmmaking Visual Creation & Mass Production', International Design Journal, 14(2), pp. 207-212. doi: 10.21608/idj.2024.258931.1111
Nassar, S. Futuristic Scenarios: Utilization of AI Technological Settings to Foster the Filmmaking Visual Creation & Mass Production. International Design Journal, 2024; 14(2): 207-212. doi: 10.21608/idj.2024.258931.1111
Futuristic Scenarios: Utilization of AI Technological Settings to Foster the Filmmaking Visual Creation & Mass Production
Film and Media Studies, Communication and Mass Media
Abstract
Abstract AI or Artificial intelligence is an innovative information technology that allows for the interaction with machines and proposes human interaction systems. Since the film industry creation is heavily dependent on programming systems and digital technologies, it has become a leading sector to which AI technology is applicable for implementation. The utilization of AI in the filmmaking mass production would enable editors to create effective and significant movies using human-based systems and programs in a highly efficient manner. This paper aim to review the implications of AI-based film industry practices of the film industry future, through evaluating the associated opportunities and obstacles. A thorough literature review is carried out to review the findings of recent papers and to synthesize key facts and information related to AI in the film industry. It is concluded that through the use of AI-based facial recognition programs, editors become capable of effectively analyzing the major characters and sorting out the major scenes for human editors. A myriad of areas within the film industry are amenable to the application of AI technologies, including script writing, estimating a film's commercial success, casting of actors, film promotion and marketing amongst others. In the future, it is expected that current film industry practices will be revolutionized through the utilization of AI technologies and machine learning programs as a result of the digitization of numerous editing and promotion-related procedures. This article outlines the applications of AI technology to the film industry and enhances the understanding and knowledge of AI technologies.
1- Ali, N. M., Abd El Hamid, M. M., & Youssif, A. (2019). Sentiment analysis for movies reviews dataset using deep learning models. International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol, 9.
2- Boden, M (ed.). Artificial intelligence. Handbook of Perception and Cognition, second edition. San Diego: Academic Press, 1996.
3- Chow, Pei-Sze. (2020). Ghost in the (Hollywood) machine: Emergent applications of artificial intelligence in the film industry, Amsterdam University Press (AUP)
4- Chu, E., & Roy, D. (2017). Audio-visual sentiment analysis for learning emotional arcs in movies. In 2017 IEEE International Conference on Data Mining (ICDM), 6(4), 829-834.
5- Daniele, A. and Song, Y. ‘AI + Art = Human’, Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society – AIES ’19, 2019: 155-161.
6- Greenman, C. (2017). Exploring the impact of artificial intelligence on the accounting profession. Journal of Research in Business, Economics, and Management, 8(3), 1451.
7- Jaiswal, S. R., & Sharma, D. (2017). Predicting success of Bollywood movies using machine learning techniques. In Proceedings of the 10th Annual ACM India Compute Conference, 121-124.
8- Li, H., Kumar, N., Chen, R., & Georgiou, P. (2018). A deep reinforcement learning framework for Identifying funny scenes in movies. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3116-3120.
9- Mutlu, N. G. A. (2020). The future of filmmaking: data-driven movie-making techniques. Global Journal of Arts Education, 10(2), 167-174.
10- Phorasim, P., & Yu, L. (2017). Movies recommendation system using collaborative filtering and k-means. International Journal of Advanced Computer Research, 7(29), 52.
11- Nassar. S. (2021). Engaging by Design: Utilization of VR Interactive Design Tool in Mise- en- scene Design in Filmmaking. International Design Journal, Article 5, Volume 11, issue 6- Serial Number 4, November and December. DOI: 10.21608/idj.2021.204924
12- Nassar, S. (2021). Promote Sustainable AI to Limit the Ethical and Technological Futuristic Issues. SCIENTIA MORALITAS - International Journal of Multidisciplinary Research, 6(2), 1-6. Retrieved from http://scientiamoralitas.com/index.php/sm/article/view/96
13- Nassar, S. (2022). Novel Role of Artificial Intelligence Utilization by Concept Designers in Video Games. International Design Journal, 12(2), 267-270. DOI: 10.21608/idj.2022.115731.1033
14- Nassar, S. (2022). Representing Pasts -Visioning Futures TECHNOLOGIES EVOLVE: VISUALIZING MIXED REALITY OVERTIME IN CINEMA PRODUCTION. 10.13140/RG.2.2.18258.94405. DOI:10.13140/RG.2.2.18258.94405
15- Nassar, S. (2021). Achieving Sustainable Consumption and Enhance the SDGs Through the Utilization of Digital Techniques in Scenic Design. International Design Journal, 11(5), 105-110.
17- Smith, J. R., Joshi, D., Huet, B., Hsu, W., & Cota, J. (2017). Harnessing ai for augmenting creativity: Application to movie trailer creation. In Proceedings of the 25th ACM international conference on Multimedia, 12(6), 1799-1808.
18- Smith, J. R, (2016, August 31). IBM Research Takes Watson to Hollywood with the First “Cognitive Movie Trailer.” The Premier Hybrid Cloud and AI Event May 11 — Americas | May 12 — APAC & EMEA Register for Think. Free. https://www.ibm.com/blogs/think/2016/08/cognitive-movie-trailer/
Yasen, M., & Tedmori, S. (2019). Movies Reviews sentiment analysis and classification. In 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT), 860-865.