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 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.
Col·leccions
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Articles de revista [75]
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Capítols de llibre [12]
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Llibres [2]
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Reports de recerca [14]
Enviaments recents
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SaltiNet: scan-path prediction on 360 degree images using saliency volumes
(IEEE Press, 2018)
Comunicació de congrés
Accés obertWe introduce SaltiNet, a deep neural network for scan-path prediction trained on 360-degree images. The model is based on a temporal-aware novel representation of saliency information named the saliency volume. The first ... -
Magnetic resonance imaging and machine learning make a valuable combined tool for the screening of preclinical AD
(2017-07)
Article
Accés restringit per política de l'editorial -
Hierarchical stack filtering: a bitplane-based algorithm for massively parallel processors
(2017-03-15)
Article
Accés obertWith 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 ... -
Cost-effective active learning for melanoma segmentation
(2017)
Comunicació de congrés
Accés obertWe propose a novel Active Learning framework capable to train effectively a convolutional neural network for semantic segmentation of medical imaging, with a limited amount of training labeled data. Our contribution is a ... -
3D hierarchical optimization for multi-view depth map coding
(2017-11-28)
Article
Accés restringit per política de l'editorialDepth 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 ... -
Hierarchical object detection with deep reinforcement learning
(IOS Press, 2017-11-23)
Capítol de llibre
Accés restringit per política de l'editorialDeep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, ... -
Object retrieval with deep convolutional features
(IOS Press, 2017-11-23)
Capítol de llibre
Accés restringit per política de l'editorialDeep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, ... -
Towards large scale multimedia indexing: a case study on person discovery in broadcast news
(Association for Computing Machinery (ACM), 2017)
Text en actes de congrés
Accés restringit per política de l'editorialThe rapid growth of multimedia databases and the human interest in their peers make indices representing the location and identity of people in audio-visual documents essential for searching archives. Person discovery ... -
Two level continuous speech recognition using demisyllable-based HMM word spotting
(1991)
Text en actes de congrés
Accés obertThis paper describes a two level Spanish Continuous Speech Recognition System based on Demisyllable HMM modelling, word-spotting and finite-state lexical and syntactic knowledge. The first level, the word level, is based ... -
Image sequence analysis and merging
(LINKÖPING UNIVERSITY, 1997)
Text en actes de congrés
Accés obert -
Registration of images to unorganized 3D point clouds using contour cues
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Text en actes de congrés
Accés obertLow resolution commercial 3D sensors contribute to computer vision tasks even better when the analysis is carried out in a combination with higher resolution image data. This requires registration of 2D images to ... -
ViTS: Video tagging system from massive web multimedia collections
(IEEE Press, 2017)
Text en actes de congrés
Accés obertThe popularization of multimedia content on the Web has arised the need to automatically understand, index and retrieve it. In this paper we present ViTS, an automatic Video Tagging System which learns from videos, their ...
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