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20 October 2022 Application principle and practice of scene moving shot in virtual live broadcast based on UE4
Yutong Shen
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Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 1245132 (2022) https://doi.org/10.1117/12.2656630
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China
Abstract
UE4 (Unreal Engine 4), a new digital information technology software, involves film and television production, game production, chat platform, and live broadcast applications. Model engineering files with maps in MAYA, 3dMax, and ZBrush can be imported into UE4, where the materials and special effects of this software can be distinguished. In addition, plug-ins can be imported and designed by blueprints, level editing, node editing, and C++ programming language editing, leading to the increasing use of UE4 in various industries. It is not only animation design or real-time demonstration and experience of game operation, but also simple operation and improved efficiency play an important role in promoting the whole industry. In this paper, we use principal component analysis (PCA), analytic hierarchy process (AHP) and neural network model to study image display through machine learning and other algorithms. By preprocessing the data to make it meet the conditions of neural network operation in machine learning, we will use neural network architecture for analysis and make a horizontal comparison with the live broadcast feedback of other E-sports platforms. The neural network model focuses on the image effect, production cost and playback feedback of the more intuitive sequencer scene in the Unreal Engine4 virtual live broadcast and the traditional film and television live broadcast, and obtains the specific advantages and disadvantages through algorithm comparison.
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Yutong Shen "Application principle and practice of scene moving shot in virtual live broadcast based on UE4", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 1245132 (20 October 2022); https://doi.org/10.1117/12.2656630
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KEYWORDS
Data modeling
Neural networks
3D modeling
Machine learning
Principal component analysis
3D applications
Evolutionary algorithms
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