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  • Magnetic resonance imaging and machine learning make a valuable combined tool for the screening of preclinical AD 

    Petrone, Paula; Vilaplana Besler, Verónica; Casamitjana Díaz, Adrià; Domingo Gispert, Juan; Molinuevo, Jose Luis; Sánchez Escobedo, Dalila (2017-07)
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  • Hierarchical stack filtering: a bitplane-based algorithm for massively parallel processors 

    Frías Velazquez, Andres; Morros Rubió, Josep Ramon; García Molina, Mario; Philips, Wilfried (2017-03-15)
    Article
    Open Access
    With the development of novel parallel architectures for image processing, the implementation of well-known image operators needs to be reformulated to take advantage of the so-called massive parallelism. In this work, we ...

  • 3D hierarchical optimization for multi-view depth map coding 

    Maceira, Marc; Varas, David; Morros Rubió, Josep Ramon; Ruiz Hidalgo, Javier; Marqués Acosta, Fernando (2017-11-28)
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    Depth data has a widespread use since the popularity of high resolution 3D sensors. In multi-view sequences, depth information is used to supplement the color data of each view. This article proposes a joint encoding of ...

  • A closed-loop approach for tracking a humanoid robot using particle filtering and depth data 

    Martínez González, Pablo Arturo; Lin, Xiao; Castelan, Mario; Casas Pla, Josep Ramon; Arechavaleta, Gustavo (Springer, 2017-05-24)
    Article
    Open Access
    Humanoid robots introduce instabilities during biped march that complicate the process of estimating their position and orientation along time. Tracking humanoid robots may be useful not only in typical applications such ...

  • Distributed training strategies for a computer vision deep learning algorithm on a distributed GPU cluster 

    Campos, Victor; Sastre, Francesc; Yagües, Maurici; Bellver, Míriam; Giró Nieto, Xavier; Torres Viñals, Jordi (Elsevier, 2017)
    Article
    Open Access
    Deep learning algorithms base their success on building high learning capacity models with millions of parameters that are tuned in a data-driven fashion. These models are trained by processing millions of examples, so ...

  • 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 ...

  • From pixels to sentiment: fine-tuning CNNs for visual sentiment prediction 

    Campos Camunez, Victor; Jou, Brendan; Giró Nieto, Xavier (2017-02-05)
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    Visual multimedia have become an inseparable part of our digital social lives, and they often capture moments tied with deep affections. Automated visual sentiment analysis tools can provide a means of extracting the rich ...

  • Optimum graph cuts for pruning binary partition trees of polarimetric SAR images 

    Salembier Clairon, Philippe Jean; Foucher, Samuel (Institute of Electrical and Electronics Engineers (IEEE), 2016-09-01)
    Article
    Open Access
    This paper investigates several optimum graph-cut techniques for pruning binary partition trees (BPTs) and their usefulness for the low-level processing of polarimetric synthetic aperture radar (PolSAR) images. BPTs group ...

  • Description schemes for video program, user and devices 

    Salembier Clairon, Philippe Jean; Richard, Qian; O'Connors, N Et Al; Correia, P. (2000-09)
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    This paper presents a set of description schemes (DS) dealing with video programs, users and devices. Following MPEG-7 terminology, a description of an AV document includes descriptors (termed Ds), which specify the syntax ...

  • Extensive operators in partition lattices for image sequence analysis 

    Garrido Ostermann, Luis; Salembier Clairon, Philippe Jean; García Vizcaíno, David (1998-04)
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    This paper deals with the class of extensive operators in the lattice of partitions. These operators are merging techniques. They can be used as filtering tools or as segmentation algorithms. In the first case, they are ...

  • Object-based image coding 

    Pardàs Feliu, Montse (1997-03)
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    Object-based compression methods describe images in terms of a set of regions (a partition), and of some information for each region to be used by the receiver to reconstruct the image (its texture). Different techniques ...

  • Segmentation of video sequences for partition tree generation 

    Pardàs Feliu, Montse; Salembier Clairon, Philippe Jean (1997-07)
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    In this paper we propose a segmentation structure to generate a partition tree with multiple partition proposals. These multiple partitions are obtained for every image in a hierarchical way, from the coarsest one to the ...

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