Neuro-Fuzzy Logic for Automatic Animation Scene Generation in Movie Arts in Digital Media Technology

Animation scene generation (ASG) is the best digital media tool for lifelike scenes, particularly for movies. Traditional animation methods are laborious, computationally intensive, and scalable. Thus, this work addresses animation production issues using NFL-ASG. Combining fuzzy logic with a convol...

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Veröffentlicht in:International journal of computational intelligence systems Jg. 17; H. 1; S. 1 - 15
1. Verfasser: Peng, Liu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Dordrecht Springer Netherlands 09.12.2024
Springer
Schlagworte:
Animation scene generation
Artificial Intelligence
Computation complexity
Computational Intelligence
Control
Convolution neural networks
Engineering
Fuzzy logic
Mathematical Logic and Foundations
Mechatronics
Moana island scene
Research Article
Robotics
Fuzzy logic
Computation complexity
Animation scene generation
Convolution neural networks
Moana island scene
ISSN:1875-6883, 1875-6883
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Zusammenfassung:Animation scene generation (ASG) is the best digital media tool for lifelike scenes, particularly for movies. Traditional animation methods are laborious, computationally intensive, and scalable. Thus, this work addresses animation production issues using NFL-ASG. Combining fuzzy logic with a convolution neural network may create more realistic animated situations with less human interaction and better learning. Convolutional model training uses animation scenarios’ complicated motion patterns, character interactions, and ambient factors. Deep learning and fuzzy logic might change animation by boosting production techniques and releasing digital media technological creativity. After testing the system on the Moana Island scene dataset, it achieved a perception analysis success rate of 0.981% and a minimal processing complexity of ( n log n ).
ISSN:1875-6883
1875-6883
DOI:10.1007/s44196-024-00709-z