A secure cloud based image processing technique

With the media industry in its full swing, the need for video editing and censoring has increased in drastic proportions. But as every sector has its own advancements, there are also certain areas where it lags. With more number of media items pouring in, the need to segregate the categories has also increased. Presently, this censoring is done manually by viewer’s who view the content. Though there are strict rules as to which videos should fall under which category, discrepancies occur due to difference in perspectives. Moreover, a content running for 3 min would be judged by an algorithm at faster rates than what is being done manually. Therefore, there is a need for a platform where end users need only upload the content while the sorting would be done automatically. The data sets available from ImageNet API would make it easier for training the model for convolutional neural networks.