Along this thesis, a novel and robust approach for automatic human annotation in long video sequences is addressed. This work defines a fully automatic pipeline that is able to deal with different types of sequences. The ...

Banking is becoming branchless, contemporary and digital at a very fast pace. As banks compete to gain a competitive advantage, the need to manage large amounts of data and analytics becomes more relevant as well as the ...

[ANGLÈS] With this research we have tried to improve music recommendations during the so-called cold start problem, i.e when a new user registers to a recommender system service, the system doesn't know his taste and cannot ...

The main objective of this thesis is to apply state-of-the-art computer vision algorithms to the field of sports, specifically football. The process involves researching open source algorithms and their implementation to ...

Este proyecto se basa en el clustering en una red peer-to-peer utilizando un algoritmo adaptado k-means. El algoritmo obtiene los datos de la database Sensor Community, donde cada sensor es tratado como un nodo de la red. ...

Deep learning has become part of many state-of-the-art systems in multiple disciplines (specially in computer vision and speech processing). In this thesis Convolutional Neural Networks are used to solve the problem of ...

Super-resolution is a popular computer vision task that aims to enhance an image by increasing its resolution. The countless possibilities for applications with this technology and the recent success of deep learning in ...

During this project, state-of-the-art deep learning models have been used to estimate depth maps from a monocular RGB image applying a teacher-student learning approach. This paradigm has been used in order to distillate ...

[ANGLÈS] The growing interest in 3D television had created new needs of storing the information related with 3D views. 3D video coding includes the use of multiple color views and depth maps associated to each view. An ...