Automatic recognition of emotions in the description of motion pictures for television archives

The information departments of television networks are undergoing a continuous automation of their document processes. Under the framework of image description, there is the possibility of implementing Automatic Speech Recognition (ASR) techniques and images, which can be used to identify the various emotions that can be seen in images. Journalists require information from connoted information and that is also explicitly present through facial gestures and voice vibration, so audiovisual information departments must describe those elements or find automated tools to help the identification thereof. In this paper, we present the method and validity of automating the processes for extracting information from emotions using biometric techniques. For this, we have conducted a bibliographical review and visited television information centers to determine the requirements, to then capture the necessary changes in the mechanisms of system automation.