GPI - Grup de Processament d'Imatge i Vídeo

 

El GPI fa recerca en Processament d'Imatge i Vídeo per representació, codificació, indexació i anàlisi del contingut visual. L'expertesa del grup en Morfologia i Segmentació ha estat la base de contribucions als estàndards ISO MPEG-4 i MPEG-7. La recerca en anàlisi d’imatge li ha permès participar en projectes europeus des de 1992, als programes RACE (Morpheco, coord.), ACTS (MAVT, MoMuSys, Vidas), IST (Diceman, Hypermedia, INTERFACE, ADViSOR, MASCOT, FAETHON), en xarxes d'excel·lència (SCHEMA, SIMILAR, MUSCLE), i en projectes integrats FP6 (CHIL) i FP7 (FASCINATE). El grup ha construït dues “smart rooms” al Campus Nord de la UPC, i ha fet contribucions en anàlisi visual per interacció, així com en aplicacions d’imatge biomèdica i teledetecció. Ha signat convenis de recerca amb empreses com ara Philips (París), France Telecom (Rennes), NXP (Holanda), Thomson (Princeton, USA), Alterface (Bèlgica) i nacionals com Telefónica, CCRTV, MediaPro, Fundació CELLEX, Hospital Clínic, AD Telecom o Abertis.

El GPI investiga sobre procesamiento de imagen y vídeo por representación, codificación, indexación y análisis del contenido visual. La investigación del grupo en Morfología y Segmentación ha sido la base de contribuciones a los estándares ISO MPEG-4 y MPEG-7. La investigación en análisis de imagen le ha permitido participar en proyectos europeos desde 1992, en los programas RACE (Morpheco, coord.), ACTS (MAVT, MoMuSys, Vidas), IST (Diceman, Hypermedia, INTERFACE, Advisor, MASCOT, FAETHON ), en redes de excelencia (SCHEMA, SIMILAR, MUSCLE), y en proyectos integrados FP6 (CHIL) y FP7 (Fascinate). El grupo ha construido dos “smart romos” en el Campus Nord de la UPC, y ha hecho contribuciones en análisis visual por interacción, así como en aplicaciones de imagen biomédica y teledetección. Ha firmado convenios de investigación con empresas como Philips (París), France Telecom (Rennes), NXP (Holanda), Thomson (Princeton, USA), Alterface (Bélgica) y nacionales como Telefónica, CCRTV, MediaPro, Fundación CELLEX, Hospital Clínic, AD Telecom o Abertis.

The GPI does research on image and video processing for representing, coding, indexing and analysing visual content. The expertise of the group working on morphology and segmentation has been the basis for contributions to ISO standards MPEG-4 and MPEG-7. Research on image analysis has allowed it to participate in European projects since 1992, including the programs RACE (Morpheco, coord.), ACTS (MAVT, MoMuSys, Vidas) and IST (Diceman, Hypermedia, INTERFACE, ADViSOR, MASCOT, FAETHON), the networks of excellence SCHEMA, SIMILAR and MUSCLE and the integrated FP6 and FP7 projects CHIL and FASCINATE, respectively.

The GPI does research on image and video processing for representing, coding, indexing and analysing visual content. The expertise of the group working on morphology and segmentation has been the basis for contributions to ISO standards MPEG-4 and MPEG-7. Research on image analysis has allowed it to participate in European projects since 1992, including the programs RACE (Morpheco, coord.), ACTS (MAVT, MoMuSys, Vidas) and IST (Diceman, Hypermedia, INTERFACE, ADViSOR, MASCOT, FAETHON), the networks of excellence SCHEMA, SIMILAR and MUSCLE and the integrated FP6 and FP7 projects CHIL and FASCINATE, respectively.

Recent Submissions

  • Unsupervised GRN Ensemble 

    Bellot, Pau; Salembier Clairon, Philippe Jean; Pham, Ngoc C.; Meyer, Patrick E. (Springer, 2019)
    Part of book or chapter of book
    Restricted access - publisher's policy
    Inferring gene regulatory networks from expression data is a very challenging problem that has raised the interest of the scientific community. Different algorithms have been proposed to try to solve this issue, but it has ...

  • Standardized assessment of automatic segmentation of white matter hyperintensities; results of the WMH segmentation challenge 

    Kuijf, Hugo J.; Biesbroek, J. Matthijs; De Bresser, Jeroen; Casamitjana Díaz, Adrià; Vilaplana Besler, Verónica (2019-03)
    Article
    Open Access
    Quantification of white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Advanced measurements are obtained from manual segmentations on brain MR images, ...

  • Prediction of amyloid pathology in cognitively unimpaired individuals using voxel-wise analysis of longitudinal structural brain MRI 

    Petrone, Paula; Casamitjana Díaz, Adrià; Falcón, Carlos; Artigues, Miquel; Operto, Grégory; Cacciaglia, Raffaele; Molinuevo, José Luis; Vilaplana Besler, Verónica; Gispert, Juan Domingo (2019-08-17)
    Article
    Open Access
    Background Magnetic resonance imaging (MRI) has unveiled specific alterations at different stages of Alzheimer’s disease (AD) pathophysiologic continuum constituting what has been established as “AD signature”. To what ...

  • Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry 

    Gené Mola, Jordi; Sanz Cortiella, Ricardo; Rosell Polo, Joan Ramon; Morros Rubió, Josep Ramon; Ruiz Hidalgo, Javier; Vilaplana Besler, Verónica; Gregorio, Eduard (2020-01-13)
    Article
    Restricted access - publisher's policy
    The development of remote fruit detection systems able to identify and 3D locate fruits provides opportunities to improve the efficiency of agriculture management. Most of the current fruit detection systems are based on ...

  • Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study 

    Casamitjana Díaz, Adrià; Petrone, Paula; Molinuevo, José Luis; Gispert, Juan Domingo; Vilaplana Besler, Verónica (2019-08-01)
    Article
    Open Access
    Magnetic resonance imaging (MRI) provides high resolution brain morphological information and is used as a biomarker in neurodegenerative diseases. Population studies of brain morphology often seek to identify pathological ...

  • Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities 

    Gené Mola, Jordi; Vilaplana Besler, Verónica; Rosell Polo, Joan Ramon; Morros Rubió, Josep Ramon; Ruiz Hidalgo, Javier; Gregorio, Eduard (2019-07-01)
    Article
    Restricted access - publisher's policy
    Fruit detection and localization will be essential for future agronomic management of fruit crops, with applications in yield prediction, yield mapping and automated harvesting. RGB-D cameras are promising sensors for fruit ...

  • BCN20000: dermoscopic lesions in the wild 

    Combalia, Marc; Codella, Noel C. F.; Rotemberg, Veronica; Vilaplana Besler, Verónica (2019)
    External research report
    Open Access
    This article summarizes the BCN20000 dataset, composed of 19424 dermoscopic images of skin lesions captured from 2010 to 2016 in the facilities of the Hospital Clínic in Barcelona. With this dataset, we aim to study the ...

  • Video object linguistic grounding 

    Herrera-Palacio, Alba; Ventura, Carles; Giró Nieto, Xavier (Association for Computing Machinery (ACM), 2019)
    Conference lecture
    Restricted access - publisher's policy
    The goal of this work is segmenting on a video sequence the objects which are mentioned in a linguistic description of the scene. We have adapted an existing deep neural network that achieves state of the art performance ...

  • Multi-view 3D face reconstruction in the wild using siamese networks 

    Ramon, Eduard; Escur, Janna; Giró Nieto, Xavier (Computer Vision Foundation, 2019)
    Conference report
    Open Access
    In this work, we present a novel learning based approach to reconstruct 3D faces from a single or multiple images. Our method uses a simple yet powerful architecture based on siamese neural networks that helps to extract ...

  • Fruit detection in an apple orchard using a mobile terrestrial laser scanner 

    Gené-Mola, Jordi; Gregorio, Eduard; Guevara, Javier; Auat, Fernando; Sanz-Cortiella, Ricardo; Escolà, Alexandre; Llorens, Jordi; Morros Rubió, Josep Ramon; Ruiz Hidalgo, Javier; Vilaplana Besler, Verónica; Rosell-Polo, Joan R. (Elsevier, 2019-11-01)
    Article
    Restricted access - publisher's policy
    The development of reliable fruit detection and localization systems provides an opportunity to improve the crop value and management by limiting fruit spoilage and optimised harvesting practices. Most proposed systems for ...

  • Digitally stained confocal microscopy through deep learning 

    Combalia Escudero, Marc; Pérez Ankar, Javiera; García Herrera, Adriana; Alos, Llúcia; Vilaplana Besler, Verónica; Marqués Acosta, Fernando; Puig, Susana; Malvehy, Josep (Microtome Publishing, 2019)
    Conference report
    Open Access
    Specialists have used confocal microscopy in the ex-vivo modality to identify Basal Cell Carcinoma tumors with an overall sensitivity of 96.6% and specificity of 89.2% (Chung et al., 2004). However, this technology hasn’t ...

  • KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data 

    Gené Mola, Jordi; Vilaplana Besler, Verónica; Rosell Polo, Joan Ramon; Morros Rubió, Josep Ramon; Ruiz Hidalgo, Javier; Gregorio, Eduard (Elsevier, 2019-07-19)
    Article
    Open Access
    This article contains data related to the research article entitle “Multi-modal Deep Learning for Fruit Detection Using RGB-D Cameras and their Radiometric Capabilities” [1]. The development of reliable fruit detection and ...

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