The enormous amount of visual data generated nowadays creates a strong need for annotation tools to enable search and retrieval of information present in the videos. One of the most relevant information is the identity of people. The aim of this project is to implement non-supervised algorithms of text and face recognition, to identify relevant people appearing in Broadcast TV. This project achieves avoiding manual annotations with an automatic annotation system.La enorme cantidad de datos visuales generados hoy en día crea una fuerte necesidad de obtener técnicas de anotación para poder realizar búsquedas de información en los vídeos. Una de la información más relevante es la identidad de las personas. El objetivo de este proyecto es propo...
El sistema propuesto en este artículo pretende identificar y reconocer a los usuarios que estánfrent...
Television networks need to monitorize, adding metadatas to the contents, everything that happens in...
En aquest projecte, diversos models d’aprenentatge profund d’última generació s'han fet servir per e...
Nowadays, Artificial Intelligence in computation vision is widely used, and there are constant impro...
In the recent years, the demand for unsupervised annotation tools to annotate and classify large aud...
The purpose of this project is to focus in exploring deep learning methods for multimodal person rec...
La enorme cantidad de datos visuales que se genera actualmente, especialmente vídeos, crea una fue...
The automatic labeling of faces in TV broadcasting is still a challenging problem. The high variabil...
In the recent years, the demand for video tools to automatically annotate and classify large audiovi...
Recogniton of peple by speech and face in TV shows. Participation in the international competition M...
La gran cantidad de datos visuales que se generan en la actualidad lleva a la necesidad...
The automatic labeling of faces in TV broadcasting is still a challenging problem. The high variabil...
Ce travail de thèse a pour objectif de proposer plusieurs méthodes d'identification non-supervisées ...
International audienceThis paper presents a collaborative annotation framework for person identifica...
In this thesis we propose several methods for unsupervised person identification in TV broadcast usi...
El sistema propuesto en este artículo pretende identificar y reconocer a los usuarios que estánfrent...
Television networks need to monitorize, adding metadatas to the contents, everything that happens in...
En aquest projecte, diversos models d’aprenentatge profund d’última generació s'han fet servir per e...
Nowadays, Artificial Intelligence in computation vision is widely used, and there are constant impro...
In the recent years, the demand for unsupervised annotation tools to annotate and classify large aud...
The purpose of this project is to focus in exploring deep learning methods for multimodal person rec...
La enorme cantidad de datos visuales que se genera actualmente, especialmente vídeos, crea una fue...
The automatic labeling of faces in TV broadcasting is still a challenging problem. The high variabil...
In the recent years, the demand for video tools to automatically annotate and classify large audiovi...
Recogniton of peple by speech and face in TV shows. Participation in the international competition M...
La gran cantidad de datos visuales que se generan en la actualidad lleva a la necesidad...
The automatic labeling of faces in TV broadcasting is still a challenging problem. The high variabil...
Ce travail de thèse a pour objectif de proposer plusieurs méthodes d'identification non-supervisées ...
International audienceThis paper presents a collaborative annotation framework for person identifica...
In this thesis we propose several methods for unsupervised person identification in TV broadcast usi...
El sistema propuesto en este artículo pretende identificar y reconocer a los usuarios que estánfrent...
Television networks need to monitorize, adding metadatas to the contents, everything that happens in...
En aquest projecte, diversos models d’aprenentatge profund d’última generació s'han fet servir per e...