Remasterización de videos mediante el uso de visión artificial

Abstract

At present, most of the implementation is applied in processes of large industrial companies, due to this ideas have arisen that artificial vision was only for those uses, but it has been demonstrated over time that it can also be applied to different fields such as medicine, security and photography. According to these indications, research was carried out on the use and implementation of artificial vision in the remastering of videos, since the videos is the collection of images, audio and other data, which will be helpful for the purpose of this project. The present work aims to develop and implement artificial vision techniques necessary for the remastering of black and white videos. For the remastering process, the pre-trained convolutional neural network model is combined with artificial vision, this model obtains information by performing an analysis process to identify important characteristics of the objects. These pre-trained networks save time and resources at the time of execution, since, if it were used from an initial learning of zero this could take weeks and optimal results could not be obtained, the convolutional neural network that is used will be that of the model VGG that has depth of 16 or 19 layers, is trained with more than a million images, allowing it to be imported. The pre-trained network will identify and detect the objects to which the artificial vision will be applied. On the other hand, artificial vision will be in charge of carrying out the video colorization and scalability process. The working tools for the development of this prototype will be in the Python programming language. In addition, the use of imports from libraries such as OpenCV, Numpy, Keras and Torch which are necessary for the realization of artificial vision. On the other hand, an intuitive web page was developed with the Flask framework, allowing it to be used in an agile and fast way. The website allows you to upload a video file with an .mp4 extension as input for the process and as output it will show the result of the remastered video.