Real Time Video Processing Using Machine Learning

Authors : Aashay Pawar

Volume/Issue : Volume 5 - 2020, Issue 1 - January

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Cell phones in the previous not many years have been confined to printed content. The present age, nonetheless, has started to get to more extravagant sight and sound substance, for example, video, expanding the assortment of gadgets that entrance the Web. At that point, an issue emerges as a portion of the highlights of those gadgets, for example, memory limit or screen goals change the entrance to a confined material. The present work talks about the utilization of AI procedures as a major aspect of a mind boggling video adjustment process, looking at the aftereffects of two of the most generally utilized information examination strategies, Multilayer Perceptron and Bayesian Inference, as a major aspect of a Decision Engine, investigating information, for example, framework limits, client desires and system condition so as to make the most reasonable adjustment conceivable.


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