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              <text>Application of AI in video games to improve game building</text>
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              <text>Future frame prediction; Image analytics; Video analytics</text>
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              <text>Video Games Industry has been welcoming AI like any other industry for various tasks, AI in gaming helps to convey a much more realistic gaming experience, amplify player interaction and satisfaction over extensive periods. Additionally, the gaming industry is utilizing Artificial Intelligence to liberate its staff by making game development automated, quicker, and less expensive. In this work an experiment is described using Deep Neural Network and Statistical techniques for forecasting the location of an object in future frames of a video, it focuses on the engineering phase of the game, the proposed model combines future prediction of object location which helps to build the infinite universe in the videogame without any additional videos frames of the input video or hard coding any scenes to build the scenes further.  2021 IEEE.</text>
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              <text>Rath T.; Preethi N.</text>
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              <text>Proceedings - 2021 IEEE 10th International Conference on Communication Systems and Network Technologies, CSNT 2021, pp. 821-824.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2021-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/CSNT51715.2021.9509685" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/CSNT51715.2021.9509685&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISBN: 978-073810523-9</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Rath T., Christ (Deemed to be) University, Pune, India; Preethi N., Christ (Deemed to be) University, Pune, India</text>
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