Now showing items 1-9 of 9

  • An Interactive Lifelog Search Engine for LSC2018 

    Alsina Torra, Adrià (Universitat Politècnica de Catalunya, 2018-06-25)
    Bachelor thesis
    Open Access
    Covenantee:  Dublin City University
    This thesis consists on developing an interactive lifelog search engine for the LSC 2018 search challenge at ACM ICMR 2018. This search engine is created in order to browse for images from a given lifelog dataset and display ...
  • A web-based user interface for browsing and annotating image collections using a state-of-the-art content-based image search engine 

    Gómez Duran, Paula (Universitat Politècnica de Catalunya, 2018-02-01)
    Bachelor thesis
    Open Access
    Covenantee:  Dublin City University
    This thesis consists of developing a web user interface for a content-based image retrieval (CBIR) system in order to provide a visualization of the obtained results and eventually to improve them by capturing the user's ...
  • Critical review: injectability of calcium phosphate pastes and cements 

    Ginebra Molins, Maria Pau; O'Neill, Rory; Montufar Jiménez, Edgar Benjamin; Wilson, D.I.; Lennon, A.; Dunne, Nicholas (2016-11-09)
    Article
    Open Access
    Covenantee:  Dublin City University
    Calcium phosphate cements (CPC) have seen clinical success in many dental and orthopaedic applications in recent years. The properties of CPC essential for clinical success are reviewed in this article, which includes ...
  • Deep learning at Dublin city university 

    Woodward Riquelme, Alejandro Benjamín (Universitat Politècnica de Catalunya, 2018-05)
    Master thesis
    Restricted access - confidentiality agreement
    Covenantee:  Dublin City University
    Speech recognition involves generating sequences of words that match what is being said in recordings of speech. In recent years, machine learning techniques are increasingly being used in speech recognition mainly due to ...
  • Rapid serial visual presentation for relevance feedback in image retrieval with EEG signals 

    Porta Caubet, Sergi (Universitat Politècnica de Catalunya, 2015-02)
    Bachelor thesis
    Open Access
    Covenantee:  Dublin City University
    [ANGLÈS] This thesis explores the potential of relevance feedback for image retrieval using EEG signals for human-computer interaction. This project aims at studying the optimal parameters of a rapid serial visual presentation ...
  • The impact of visual saliency prediction in image classification 

    Arazo Sánchez, Eric (Universitat Politècnica de Catalunya, 2017)
    Master thesis
    Open Access
    Covenantee:  Dublin City University
    This thesis introduces an architecture to improve the accuracy of a Convolutional Neural Network trained for image classification using visual saliency predictions from the original images. In this thesis the accuracy of ...
  • The importance of time in visual attention models 

    Coll Pol, Marta (Universitat Politècnica de Catalunya, 2018-06-25)
    Bachelor thesis
    Open Access
    Covenantee:  Dublin City University
    Predicting visual attention is a very active field in the computer vision community. Visual attention is a mechanism of the visual system that can select relevant areas within a scene. Models for saliency prediction are ...
  • Time-Sensitive egocentric image retrieval for finding objects in Lifelogs 

    Reyes Rodriguez, Cristian (Universitat Politècnica de Catalunya, 2016)
    Bachelor thesis
    Open Access
    Covenantee:  Dublin City University
    This work explores diverse practices for conducting an object search from large amounts of egocentric images taking into account their temporal information. The application of this technology is to identify where personal ...
  • Video saliency prediction with deep neural networks 

    Nieto Salas, Juan José (Universitat Politècnica de Catalunya, 2019-01)
    Bachelor thesis
    Open Access
    Covenantee:  Dublin City University
    Saliency prediction is a topic undergoing intense study in computer vision with a broad range of applications. It consists in predicting where the attention is going to be received in an image or a video by a human. Our ...