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 l'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), xarxes d'excel•lència (SCHEMA, SIMILAR, MUSCLE), i projectes integrats FP6 (CHIL) i FP7 (FASCINATE). El grup ha construit 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 Philips (París), France Telecom (Rennes), NXP (Holanda), Thomson (Princeton, USA), Alterface (Bèlgica) i nacionals com Telefònica, CCRTV, MediaPro, Fundació CELLEX, Hospital Clínic, AD Telecom o Abertis.

http://futur.upc.edu/GPI

Enviaments recents

  • Ship detection in SAR images based on Maxtree representation and graph signal processing 

    Salembier Clairon, Philippe Jean; Liesegang Maria, Sergi; López Martínez, Carlos (Institute of Electrical and Electronics Engineers (IEEE), 2018-01-01)
    Article
    Accés obert
    This paper discusses an image processing architecture and tools to address the problem of ship detection in synthetic-aperture radar images. The detection strategy relies on a tree-based representation of images, here a ...
  • LaViCAD: Laboratorio Virtual de Comunicaciones Analógicas y Digitales 

    Cabrera-Bean, Margarita; Fernández Prades, Carles; Vargas Berzosa, Carlos; Vargas Berzosa, Francisco; Fernández Rubio, Juan Antonio; Gasull Llampallas, Antoni (Universitat de Barcelona. Edicions i Publicacions, 2006)
    Text en actes de congrés
    Accés obert
    En este trabajo se presenta tanto el diseño como la experimentación de un Laboratorio Virtual de Comunicaciones Analógicas y Digitales: LaViCAD. Mediante LaViCAD se pueden experimentar y verificar diferentes aplicaciones ...
  • Online detection of action start in untrimmed, streaming videos 

    Shou, Zheng; Pan, Junting; Chan, Jonathan; Miyazawa, Kazuyuki; Mansour, Hassan; Vetro, Anthony; Giró Nieto, Xavier; Chang, Shih-Fu (Springer, 2018)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    We aim to tackle a novel task in action detection - Online Detection of Action Start (ODAS) in untrimmed, streaming videos. The goal of ODAS is to detect the start of an action instance, with high categorization accuracy ...
  • Demonstration of an open source framework for qualitative evaluation of CBIR systems 

    Gomez Duran, Paula; Mohedano, Eva; McGuinness, Kevin; Giró Nieto, Xavier; O'Connor, Noel (Association for Computing Machinery (ACM), 2018)
    Comunicació de congrés
    Accés obert
    Evaluating image retrieval systems in a quantitative way, for example by computing measures like mean average precision, allows for objective comparisons with a ground-truth. However, in cases where ground-truth is not ...
  • Hybridnet for depth estimation and semantic segmentation 

    Sánchez Escobedo, Dalila; Lin, Xiao; Casas Rius, Joan Ramon; Pardàs Feliu, Montse (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Semantic segmentation and depth estimation are two important tasks in the area of image processing. Traditionally, these two tasks are addressed in an independent manner. However, for those applications where geometric and ...
  • Oriented trajectories as a method for audience measurement 

    López Palma, Manuel; Morros Rubió, Josep Ramon; Gago Barrio, Javier; Corbalán Fuertes, Montserrat (2018)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    The quantification of the attention received by advertisements is of paramount importance to determine its effectiveness. In this work, a simple and effective objective method for the assessment of the attention given to ...
  • Seabed mapping in coastal shallow waters using high resolution multispectral and hyperspectral imagery 

    Marcello, Javier; Eugenio, Francisco; Martín Abasolo, Javier; Marqués Acosta, Fernando (Multidisciplinary Digital Publishing Institute (MDPI), 2018-08-01)
    Article
    Accés obert
    Coastal ecosystems experience multiple anthropogenic and climate change pressures. To monitor the variability of the benthic habitats in shallow waters, the implementation of effective strategies is required to support ...
  • 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)
    Comunicació de congrés
    Accés obert
    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 ...
  • What is going on in the world? A display platform for media understanding 

    Fernàndez, Dèlia; Varas, David; Espadaler, Joan; Masuda, Issey; Giró Nieto, Xavier; Riveiro, Juan Carlos; Bou Balust, Elisenda (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    News broadcasters and on-line publishers daily generate a large amount of articles and videos describing events currently happening in the world. In this work, we present a system that automatically indexes videos from a ...
  • Cascaded V-Net using ROI masks for brain tumor segmentation 

    Casamitjana Díaz, Adrià; Catà, Marcel; Sanchez Muriana, Irina; Combalia, Marc; Vilaplana Besler, Verónica (Springer, 2018)
    Capítol de llibre
    Accés restringit per política de l'editorial
    This book constitutes revised selected papers from the Third International MICCAI Brainlesion Workshop, BrainLes 2017, as well as the International Multimodal Brain Tumor Segmentation, BraTS, and White Matter Hyperintensities, ...
  • Temporally coherent 3D point cloud video segmentation in generic scenes 

    Lin, Xiao; Casas Pla, Josep Ramon; Pardàs Feliu, Montse (2018-03-02)
    Article
    Accés obert
    Video segmentation is an important building block for high level applications, such as scene understanding and interaction analysis. While outstanding results are achieved in this field by the state-of-the-art learning and ...
  • 3D point cloud segmentation using a fully connected conditional random field 

    Lin, Xiao; Casas Pla, Josep Ramon; Pardàs Feliu, Montse (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    Traditional image segmentation methods working with low level image features are usually difficult to adapt to higher level tasks, such as object recognition and scene understanding. Object segmentation emerges as a new ...

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