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

  • Uso de redes neuronales convolucionales para la detección remota de frutos con cámaras RGB-D 

    Gené Mola, Jordi; Vilaplana Besler, Verónica; Rosell Polo, Joan Ramon; Morros Rubió, Josep Ramon; Ruiz Hidalgo, Javier; Gregorio López, Eduard (Universidad de Zaragoza (UZA), 2019)
    Conference report
    Open Access
    La detección remota de frutos será una herramienta indispensable para la gestión agronómica optimizada y sostenible de las plantaciones frutícolas del futuro, con aplicaciones en previsión de cosecha, robotización de la ...

  • Big data, salut i cooperació universitària per al desenvolupament 

    López Codina, Daniel; Sayrol Clols, Elisa; Abelló Gamazo, Alberto (2022-02-10)
    Article
    Open Access
    Es presenten tres projectes de cooperació universitària al desenvolupament desenvolupats a la UPC amb la col·laboració d'altres actors. Es constata la importància de la ciència i la tecnologia per fer possible el desenvolupament ...

  • Comparative study of upsampling methods for super-resolution in remote sensing 

    Salgueiro Romero, Luis Fernando; Marcello Ruiz, Javier; Vilaplana Besler, Verónica (International Society for Photo-Optical Instrumentation Engineers (SPIE), 2019)
    Conference report
    Open Access
    Many remote sensing applications require high spatial resolution images, but the elevated cost of these images makes some studies unfeasible. Single-image super-resolution algorithms can improve the spatial resolution of ...

  • Sign language video retrieval with free-form textual queries 

    Cardoso Duarte, Amanda; Albanie, Samuel; Giró Nieto, Xavier; Varol, Gül (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference lecture
    Open Access
    Systems that can efficiently search collections of sign language videos have been highlighted as a useful application of sign language technology. However, the problem of searching videos beyond individual keywords has ...

  • Experimental confirmation of efficient island divertor operation and successful neoclassical transport optimization in Wendelstein 7-X 

    Sunn Pedersen, Thomas; Abramovic, Ivana; Agostinetti, Piero; Agredano Torres, Manuel; Äkäslompolo, Simppa; Alcuson Belloso, Jorge; Aleynikov, Pavel; Caminal Colell, Ivan; Casas Pla, Josep Ramon; Salembier Clairon, Philippe Jean (2022-04-01)
    Article
    Open Access
    We present recent highlights from the most recent operation phases of Wendelstein 7-X, the most advanced stellarator in the world. Stable detachment with good particle exhaust, low impurity content, and energy confinement ...

  • DigiPatICS: Digital Pathology Transformation of the Catalan Health Institute Network of 8 hospitals—planification, implementation, and preliminary results 

    Temprana Salvador, Jordi; López García, Pablo; Castellví Vives, Josep; Haro Martín, Luis de; Ballesta Carbonell, Eudald; Rojas Abusleme, Matias; Arrufat Vila, Miquel; Marqués Acosta, Fernando; Casas Pla, Josep Ramon; Gallego Pérez, Carles (2022-03-30)
    Article
    Open Access
    Complete digital pathology transformation for primary histopathological diagnosis is a challenging yet rewarding endeavor. Its advantages are clear with more efficient workflows, but there are many technical and functional ...

  • Context-unsupervised adversarial network for video sensors 

    Canet Tarrés, Gemma; Pardàs Feliu, Montse (Multidisciplinary Digital Publishing Institute (MDPI), 2022-04-21)
    Article
    Open Access
    Foreground object segmentation is a crucial first step for surveillance systems based on networks of video sensors. This problem in the context of dynamic scenes has been widely explored in the last two decades, but it ...

  • Channel-wise early stopping without a validation set via NNK polytope interpolation 

    Bonet Solé, David; Ortega, Antonio; Ruiz Hidalgo, Javier; Sarath Shekkizhar, Sarath (2021)
    Conference report
    Open Access
    State-of-the-art neural network architectures continue to scale in size and deliver impressive generalization results, although this comes at the expense of limited interpretability. In particular, a key challenge is to ...

  • Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-ß PET and CSF Aß42 status: findings using machine learning 

    Cumplido Mayoral, Irene; Shekari, Mahnaz; Salvado, Gemma; Operto, Grégory; Cacciaglia, Raffaele; Falcón, Carles; Niñerola Baizán, Aida; Perissinotti, Andrés; Minguillón, Carolina; Vilaplana Besler, Verónica (Wiley, 2021-12)
    Article
    Open Access
    Background: CSF Aß42 is thought to show AD-related alterations earlier than amyloid-ß PET. Therefore, cognitively unimpaired (CU) individuals with abnormal CSF Aß42 and normal amyloid-ß PET are believed to be in the ...

  • Machine learning on combined neuroimaging and plasma biomarkers for triaging participants of secondary prevention trials in Alzheimer’s disease 

    Cumplido Mayoral, Irene; Salvado, Gemma; Shekari, Mahnaz; Operto, Grégory; Falcón, Carles; Milà Alomà, Marta; Niñerola Baizán, Aida; Molinuevo Guix, José Luis; Zetterberg, Henrik; Blennow, Kaj; Suarez-Calvet, Marc; Vilaplana Besler, Verónica; Gispert López, Juan Domingo (Wiley, 2021-12)
    Article
    Open Access
    Background: Plasma biomarkers have demonstrated excellent agreement with established markers of amyloid-ß (Aß) positivity (PET and CSF) to identify patients with symptomatic AD. However, their predictive capacity in ...

  • Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI 

    Cumplido Mayoral, Irene; Ingala, Silvia; Lorenzini, Luigi; Wink, Alle Meije; Haller, Sven; Molinuevo Guix, Jose Luis; Wolz, Robin; Palombit, Alessandro; Schwarz, Adam J.; Vilaplana Besler, Verónica (Wiley, 2021-12)
    Article
    Open Access
    Background: Structural MRI measurements can contribute to the prediction of amyloid pathology in cognitively unimpaired (CU) individuals. In this work, we aimed at studying the predictive capacity, robustness, and ...

  • QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation -- analysis of ranking metrics and benchmarking results 

    Mehta, Raghav; Filos, Angelos; Baid, Ujjwal; Sako, Chiharu; McKinley, Richard; Rebsamen, Michael; Dätwyler, Katrin; Meier, Raphael; Mora Ballestar, Laura; Vilaplana Besler, Verónica (2021-12-19)
    Research report
    Open Access
    Deep learning (DL) models have provided the state-of-the-art performance in a wide variety of medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges. However, the task of focal ...

View more