Abstract
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.
Highlights
(ASR) techniques and images, which can be used to identify the various emotions that can be seen in images
Biometric technologies are not yet well developed in the management of television archives, it seems appropriate to reflect on the potential offered by the automatic recognition of images and sound, which will help us identify onomastic and even geographic and thematic visual and sound elements (Caldera 2008)
Biometrics is the technology focused on security -and as such, on identification, which is based on the recognition of the physical, inherent, individual and nontransferable characteristics of the people
Summary
The so-called "Fourth Power" holds and controls a large amount of information to be analyzed, guarded and examined with documentary criteria Such is the workload in the media, in television, that it is necessary to automate as many document management elements as possible (Caldera 2009) (Blanco & Póveda 2015). The advancement of technology, especially of information technology derivatives, makes it possible to have other developments such as identity verification through the iris, voice, etc For this reason, biometric identification applies mathematical and statistical methods to identify persons exactly as they are, and not by external elements, such as some sort of credentials. Biometric techniques are based on measuring users to recognize them automatically by applying statistical and Artificial Intelligence techniques (fuzzy logic, neural networks, etc.)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
