Novel Visual Effects in Computer Vision of Animation Film Based on Artificial Intelligence

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Abstract

A person appreciates more spiritually fulfilling entertainment as his worldly life advances. Spiritually themed films and TV shows are attracting more viewers. However, the film industry has proliferated, and animated film production has increased yearly. There’s an urgent need to create a mechanism to locate consumers’ favourite anime movies in enormous databases fast and reliably. This work uses artificial intelligence and machine learning (ML) to explore new visual expressions in animation films. This study provides a backdrop for the sensible development and upgrading that has been taking place, which uses ML technology as a basis for researching new approaches and models to improve movie visual representation and suggests that it is crucial to film’s creative development. Convolution Neural Network investigates Hollywood’s “Kung Fu Panda news” visual language. The study found that when the model parameters were identified, the test set’s accuracy remained at 57%. The enhancing film works’ innovative and visual quality and promoting a balanced and long-term film industry expansion are crucial.

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APA

SivaKrishna Reddy, V., Kathiravan, M., & Lokeswara Reddy, V. (2023). Novel Visual Effects in Computer Vision of Animation Film Based on Artificial Intelligence. In Lecture Notes in Networks and Systems (Vol. 757 LNNS, pp. 993–1007). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-5166-6_67

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