Now showing items 1-15 of 15

    • Anonymizing data via polynomial regression 

      Nin Guerrero, Jordi; Pont Tuset, Jordi; Medrano Gracia, Pau; Larriba Pey, Josep; Muntés Mulero, Víctor (2007)
      Conference report
      Open Access
      The amount of confidential information accessible through the Internet is growing continuously. In this scenario, the improvement of anonymizing methods becomes crucial to avoid revealing sensible information of individuals. ...
    • Automatic extraction of the camera point of view in Football scenes 

      Pont Tuset, Jordi (Universitat Politècnica de Catalunya, 2009-07-10)
      Master thesis
      Open Access
    • Detection-aided liver lesion segmentation using deep learning 

      Bellver, Míriam; Maninis, Kevis-Kokitsi; Pont Tuset, Jordi; Giró Nieto, Xavier; Torres Viñals, Jordi; Van Gool, Luc (2017)
      Conference lecture
      Open Access
      A fully automatic technique for segmenting the liver and localizing its unhealthy tissues is a convenient tool in order to diagnose hepatic diseases and assess the response to the according treatments. In this work we ...
    • From global image annotation to interactive object segmentation 

      Giró Nieto, Xavier; Martos Asensio, Manel; Mohedano Robles, Eva; Pont Tuset, Jordi (2013-02-16)
      Article
      Restricted access - publisher's policy
      This paper presents a graphical environment for the annotation of still images that works both at the global and local scales. At the global scale, each image can be tagged with positive, negative and neutral labels referred ...
    • Image segmentation evaluation and its application to object detection 

      Pont Tuset, Jordi (Universitat Politècnica de Catalunya, 2014-02-19)
      Doctoral thesis
      Open Access
      The first parts of this Thesis are focused on the study of the supervised evaluation of image segmentation algorithms. Supervised in the sense that the segmentation results are compared to a human-made annotation, known ...
    • Improving microaggregation for complex record anonymization 

      Pont Tuset, Jordi; Nin Guerrero, Jordi; Medrano Gracia, Pau; Larriba Pey, Josep; Muntés Mulero, Víctor (Springer Verlag, 2008)
      Conference report
      Restricted access - publisher's policy
      Microaggregation is one of the most commonly employed microdata protection methods. This method builds clusters of at least k original records and replaces the records in each cluster with the centroid of the cluster. ...
    • Increasing polynomial regression complexity for data anonymization 

      Nin Guerrero, Jordi; Pont Tuset, Jordi; Medrano Gracia, Pau; Larriba Pey, Josep; Muntés Mulero, Víctor (IEEE Computer Society, 2007)
      Conference report
      Open Access
      Pervasive computing and the increasing networking needs usually demand from publishing data without revealing sensible information. Among several data protection methods proposed in the literature, those based on linear ...
    • Measures and meta-measures for the supervised evaluation of image segmentation 

      Pont Tuset, Jordi; Marqués Acosta, Fernando (IEEE Computer Society Publications, 2013)
      Conference report
      Open Access
      This paper tackles the supervised evaluation of image segmentation algorithms. First, it surveys and structures the measures used to compare the segmentation results with a ground truth database, and proposes a new measure: ...
    • Multiscale combinatorial grouping 

      Arbelaez, Pablo Andres; Pont Tuset, Jordi; Barron, Jonathan; Marqués Acosta, Fernando; Malik, Jitendra (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Conference report
      Open Access
      We propose a unified approach for bottom-up hierarchical image segmentation and object candidate generation for recognition, called Multiscale Combinatorial Grouping (MCG). For this purpose, we first develop a fast normalized ...
    • Multiscale combinatorial grouping for image segmentation and object proposal generation 

      Pont Tuset, Jordi; Arbelaez, Pablo Andrés; Barron, Jonathan; Marqués Acosta, Fernando; Malik, Jitendra (2017-01-01)
      Article
      Open Access
      We propose a unified approach for bottom-up hierarchical image segmentation and object proposal generation for recognition, called Multiscale Combinatorial Grouping (MCG). For this purpose, we first develop a fast normalized ...
    • Parameter determination of ONN (Ordered Neural Networks) 

      Pont Tuset, Jordi; Medrano Gracia, Pau; Nin Guerrero, Jordi; Larriba Pey, Josep; Muntés Mulero, Víctor (2007)
      External research report
      Open Access
      The need for data privacy motivates the development of new methods that allow to protect data minimizing the disclosure risk without losing information. In this paper, we propose a new protection method for numerical data ...
    • Supervised assessment of segmentation hierarchies 

      Pont Tuset, Jordi; Marqués Acosta, Fernando (Springer, 2012)
      Conference lecture
      Restricted access - publisher's policy
      This paper addresses the problem of the supervised assessment of hierarchical region-based image representations. Given the large amount of partitions represented in such structures, the supervised assessment approaches ...
    • Supervised evaluation of image segmentation and object proposal techniques 

      Pont Tuset, Jordi; Marqués Acosta, Fernando (2016-07-01)
      Article
      Open Access
      This paper tackles the supervised evaluation of image segmentation and object proposal algorithms. It surveys, structures, and deduplicates the measures used to compare both segmentation results and object proposals with ...
    • System architecture of a web service for Content-Based Image Retrieval 

      Giró Nieto, Xavier; Ventura, Carles; Pont Tuset, Jordi; Cortés Yuste, Silvia; Marqués Acosta, Fernando (Association for Computing Machinery (ACM), 2010)
      Conference lecture
      Open Access
      This paper presents the system architecture of a Content- Based Image Retrieval system implemented as a web service. The proposed solution is composed of two parts, a client run- ning a graphical user interface for query ...
    • Upper-bound assessment of the spatial accuracy of hierarchical region-based image representations 

      Pont Tuset, Jordi; Marqués Acosta, Fernando (IEEE, 2012)
      Conference report
      Restricted access - publisher's policy
      Hierarchical region-based image representations are versatile tools for segmentation, filtering, object detection, etc. The evaluation of their spatial accuracy has been usually performed assessing the final result of an ...