Design and implementation of computational models for film assessment and classification

Galán García, Aitor (2020). Design and implementation of computational models for film assessment and classification. Thesis (Master thesis), E.T.S.I. Telecomunicación (UPM).

Description

Title: Design and implementation of computational models for film assessment and classification
Author/s:
  • Galán García, Aitor
Contributor/s:
  • Fernández Martínez, Fernando
Item Type: Thesis (Master thesis)
Masters title: Teoría de la Señal y Comunicaciones
Date: 2020
Subjects:
Freetext Keywords: Computational models; Machine Learning
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Machine Learning is impregnating every industry and every area of our lives, so it made sense that it was applied to a field as linked to technology as cinema. Big production companies as Netflix have already started to use algorithms to find ways of telling stories that are more appealing to the audiences. But good films still fail in the box office, so this project tackles the supposition of assessing the quality of a film, based on the standards of a particular film festival, in order to try to predict the failure or success a film will have. This project will work in a restrained environment but the suppositions made could be extrapolated to feature films, with the proper resources and time. We will analyze what features make each film unique, what descriptors can give us hidden information about the video and the audio and how this features can be fed to computational models to predict weather a film will end as Finalist or not of a given film festival.

More information

Item ID: 63194
DC Identifier: http://oa.upm.es/63194/
OAI Identifier: oai:oa.upm.es:63194
Deposited by: Biblioteca ETSI Telecomunicación
Deposited on: 23 Jul 2020 19:35
Last Modified: 23 Jul 2020 19:35
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