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.

http://futur.upc.edu/GPI

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.

http://futur.upc.edu/GPI

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.

http://futur.upc.edu/GPI

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.

http://futur.upc.edu/GPI

Enviaments recents

  • Cross-modal embeddings for video and audio retrieval 

    Surís Coll-Vinent, Dídac; Duarte, Amanda; Salvador Aguilera, Amaia; Torres Viñals, Jordi; Giró Nieto, Xavier (Springer, 2019)
    Text en actes de congrés
    Accés obert
    In this work, we explore the multi-modal information provided by the Youtube-8M dataset by projecting the audio and visual features into a common feature space, to obtain joint audio-visual embeddings. These links are used ...
  • Action tube extraction based 3D-CNN for RGB-D action recognition 

    Xu, Zhengyu; Vilaplana Besler, Verónica; Morros Rubió, Josep Ramon (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Text en actes de congrés
    Accés obert
    In this paper we propose a novel action tube extractor for RGB-D action recognition in trimmed videos. The action tube extractor takes as input a video and outputs an action tube. The method consists of two parts: spatial ...
  • UPC multimodal speaker diarization system for the 2018 Albayzin challenge 

    India Massana, Miquel Àngel; Sagastiberri, Itziar; Palau Puigdevall, Ponç; Sayrol Clols, Elisa; Morros Rubió, Josep Ramon; Hernando Pericás, Francisco Javier (International Speech Communication Association (ISCA), 2018)
    Text en actes de congrés
    Accés obert
    This paper presents the UPC system proposed for the Multimodal Speaker Diarization task of the 2018 Albayzin Challenge. This approach works by processing individually the speech and the image signal. In the speech domain, ...
  • Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease 

    Casamitjana Díaz, Adrià; Vilaplana Besler, Verónica; Petrone, Paula; Molinuevo, Jose Luis; Gispert, Juan Domingo (Springer International Publishing, 2018)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    In this work, we identify meaningful latent patterns in MR images for patients across the Alzheimer’s disease (AD) continuum. For this purpose, we apply Projection to Latent Structures (PLS) method using cerebrospinal fluid ...
  • Projection to latent spaces disentangles specific cerebral morphometric patterns associated to aging and preclinical AD”, 

    Casamitjana Díaz, Adrià; Petrone, Paula; Artigues, Miquel; Molinuevo, Jose Luis; Gispert, Juan Domingo; Vilaplana Besler, Verónica (Elsevier, 2018)
    Article
    Accés restringit per política de l'editorial
  • Characteristic brain volumetric changes in the AD preclinical signature 

    Petrone, Paula; Casamitjana Díaz, Adrià; Falcón, Carlos; Artigues, Miquel; Operto, Grégory; Skouras, Stavros; Cacciaglia, Raffaele; Molinuevo, Jose Luis; Vilaplana Besler, Verónica; Gispert, Juan Domingo; Salvado, Gemma (Elsevier, 2018)
    Article
    Accés restringit per política de l'editorial
  • MRI-based screening of preclinical Alzheimer's disease for prevention clinical trials 

    Casamitjana Díaz, Adrià; Petrone, Paula; Tucholka, Alan; Falcón, Carlos; Skouras, Stavros; Molinuevo, José Luis; Vilaplana Besler, Verónica; Gispert, Juan Domingo (IOS Press, 2018)
    Article
    Accés obert
    The identification of healthy individuals harboring amyloid pathology represents one important challenge for secondary prevention clinical trials in Alzheimer’s disease (AD). Consequently, noninvasive and cost-efficient ...
  • Quantitative ultrasound texture analysis of fetal lungs to predict neonatal respiratory morbidity 

    Bonet-Carne, Elisenda; Palacio, M.; Cobo, T.; Perez-Moreno, A.; Lopez, M.; Piraquive, J.P.; Ramirez, J.C.; Botet, F.; Marqués Acosta, Fernando; Gratacos, E. (Wiley (John Wiley & Sons), 2015)
    Article
    Accés obert
    Objective To develop and evaluate the performance of a novel method for predicting neonatal respiratory morbidity based on quantitative analysis of the fetal lung by ultrasound. Methods More than 13¿000 non-clinical ...
  • Differential expression of long non-coding RNAs are related to proliferation and histological diversity in follicular lymphomas 

    Roisman, Alejandro; Castellano, Giancarlo; Navarro López, Alba; Bellot, Pau; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert (2018-01-01)
    Article
    Accés restringit per política de l'editorial
    Long non-coding RNAs (lncRNAs) comprise a family of non-coding transcripts that are emerging as relevant gene expression regulators of different processes, including tumour development. To determine the possible contribution ...
  • Leishmaniasis parasite segmentation and classification using deep learning 

    Górriz, Marc; Aparicio, Albert; Raventós, Berta; Vilaplana Besler, Verónica; Sayrol Clols, Elisa; López Codina, Daniel (Springer, 2018)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    Leishmaniasis is considered a neglected disease that causes thousands of deaths annually in some tropical and subtropical countries. There are various techniques to diagnose leishmaniasis of which manual microscopy is ...
  • Monte-Carlo sampling applied to multiple instance learning for histological image classification 

    Combalia, Marc; Vilaplana Besler, Verónica (Springer, 2018)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    We propose a patch sampling strategy based on a sequential Monte-Carlo method for high resolution image classification in the context of Multiple Instance Learning. When compared with grid sampling and uniform sampling ...
  • Monte-Carlo sampling applied to multiple instance learning for whole slide image classification 

    Combalia, Marc; Vilaplana Besler, Verónica (2018)
    Comunicació de congrés
    Accés obert
    In this paper we propose a patch sampling strategy based on sequential Monte-Carlo methods for Whole Slide Image classification in the context of Multiple Instance Learning and show its capability to achieve high generalization ...

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