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Author Mireia Sole; Joan Blanco; Debora Gil; G. Fonseka; Richard Frodsham; Oliver Valero; Francesca Vidal; Zaida Sarrate edit  openurl
  Title Análisis 3d de la territorialidad cromosómica en células espermatogénicas: explorando la infertilidad desde un nuevo prisma Type Journal
  Year 2017 Publication (up) Revista Asociación para el Estudio de la Biología de la Reproducción Abbreviated Journal ASEBIR  
  Volume 22 Issue 2 Pages 105  
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  Area Expedition Conference  
  Notes IAM; 600.096; 600.145 Approved no  
  Call Number Admin @ si @ SBG2017d Serial 3042  
Permanent link to this record
 
 
Author Marçal Rusiñol edit  url
openurl 
  Title Classificació semàntica i visual de documents digitals Type Journal
  Year 2019 Publication (up) Revista de biblioteconomia i documentacio Abbreviated Journal  
  Volume Issue Pages 75-86  
  Keywords  
  Abstract Se analizan los sistemas de procesamiento automático que trabajan sobre documentos digitalizados con el objetivo de describir los contenidos. De esta forma contribuyen a facilitar el acceso, permitir la indización automática y hacer accesibles los documentos a los motores de búsqueda. El objetivo de estas tecnologías es poder entrenar modelos computacionales que sean capaces de clasificar, agrupar o realizar búsquedas sobre documentos digitales. Así, se describen las tareas de clasificación, agrupamiento y búsqueda. Cuando utilizamos tecnologías de inteligencia artificial en los sistemas de
clasificación esperamos que la herramienta nos devuelva etiquetas semánticas; en sistemas de agrupamiento que nos devuelva documentos agrupados en clusters significativos; y en sistemas de búsqueda esperamos que dada una consulta, nos devuelva una lista ordenada de documentos en función de la relevancia. A continuación se da una visión de conjunto de los métodos que nos permiten describir los documentos digitales, tanto de manera visual (cuál es su apariencia), como a partir de sus contenidos semánticos (de qué hablan). En cuanto a la descripción visual de documentos se aborda el estado de la cuestión de las representaciones numéricas de documentos digitalizados
tanto por métodos clásicos como por métodos basados en el aprendizaje profundo (deep learning). Respecto de la descripción semántica de los contenidos se analizan técnicas como el reconocimiento óptico de caracteres (OCR); el cálculo de estadísticas básicas sobre la aparición de las diferentes palabras en un texto (bag-of-words model); y los métodos basados en aprendizaje profundo como el método word2vec, basado en una red neuronal que, dadas unas cuantas palabras de un texto, debe predecir cuál será la
siguiente palabra. Desde el campo de las ingenierías se están transfiriendo conocimientos que se han integrado en productos o servicios en los ámbitos de la archivística, la biblioteconomía, la documentación y las plataformas de gran consumo, sin embargo los algoritmos deben ser lo suficientemente eficientes no sólo para el reconocimiento y transcripción literal sino también para la capacidad de interpretación de los contenidos.		  
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  Notes DAG; 600.084; 600.135; 600.121; 600.129 Approved no  
  Call Number Admin @ si @ Rus2019 Serial 3282  
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Author M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; David Rotger; Petia Radeva; V. Valle edit  openurl
  Title Una nova aplicacio informatica per a la correlacio d imatges angiografiques i d ecografia intracoronaria. Type Journal
  Year 2002 Publication (up) Revista de la Societat Catalana de Cardiologia, 4(4): 42, XIV Congres de la Societat Catalana de Cardiologia. Abbreviated Journal  
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  Address Barcelona, Espanya  
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  Series Editor Series Title Abbreviated Series Title  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ GMF2002a Serial 307  
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Author R. Clariso; David Masip; A. Rius edit  url
openurl 
  Title Student projects empowering mobile learning in higher education Type Journal
  Year 2014 Publication (up) Revista de Universidad y Sociedad del Conocimiento Abbreviated Journal RUSC  
  Volume 11 Issue Pages 192-207  
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  Series Volume Series Issue Edition  
  ISSN 1698-580X ISBN Medium  
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  Notes OR;MV Approved no  
  Call Number Admin @ si @ CMR2014 Serial 2619  
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Author Oriol Rodriguez-Leor; J. Mauri; Eduard Fernandez-Nofrerias; Antonio Tovar; Vicente del Valle; Aura Hernandez-Sabate; Debora Gil; Petia Radeva edit  openurl
  Title Utilizacion de la estructura de los campos vectoriales para la deteccion de la Adventicia en imagenes de Ecografia Intracoronaria Type Journal
  Year 2004 Publication (up) Revista Española de Cardiología Abbreviated Journal REC  
  Volume 57 Issue 2 Pages 100  
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  Area Expedition Conference SEC  
  Notes MILAB;IAM Approved no  
  Call Number BCNPCL @ bcnpcl @ RMF2004 Serial 566  
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Author O. Rodriguez; J. Mauri; E Fernandez-Nofrerias; A. Tovar; R. Villuendas; V. Valle; Oriol Pujol; Petia Radeva edit  openurl
  Title Analisis de texturas mediante la modificacion de un modelo binario local para la segmentacion automatica de secuencias de ecografia intracoronaria Type Journal
  Year 2003 Publication (up) Revista Española de Cardiologia (IF: 0.959), 56(2), Congreso de las Enfermedades Cardiovasculares Abbreviated Journal  
  Volume Issue Pages  
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  Address Sevilla (Spain)  
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  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ RMF2003f Serial 413  
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Author O. Rodriguez; J. Mauri; E Fernandez-Nofrerias; J. Lopez; A. Tovar; V. Valle; David Rotger; Petia Radeva edit  openurl
  Title Cuantificacion tridimensional de la longitud de segmentos coronarios a partir de secuencias de ecografia intracoronaria Type Journal
  Year 2003 Publication (up) Revista Española de Cardiologia (IF: 0.959), 56(2), Congreso de las Enfermedades Cardiovasculares Abbreviated Journal  
  Volume Issue Pages  
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  Address Sevilla (Spain)  
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  Notes MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ RMF2003g Serial 414  
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Author O. Rodriguez; J. Mauri; E Fernandez-Nofrerias; J. Lopez; A. Tovar; R. Villuendas; V. Valle; Misael Rosales; Petia Radeva edit  openurl
  Title Modelo fisico para la simulacion de imagenes de ecografia intracoronaria Type Journal
  Year 2003 Publication (up) Revista Española de Cardiologia (IF: 0.959), 56(2), Congreso de las Enfermedades Cardiovasculares Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address Sevilla (Spain)  
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  Publisher Place of Publication Editor  
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  Series Editor Series Title Abbreviated Series Title  
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  Area Expedition Conference  
  Notes MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ RMF2003h Serial 415  
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Author Oriol Rodriguez-Leor; J. Mauri; Eduard Fernandez-Nofrerias; M. Gomez; Antonio Tovar; L. Cano; C. Diego; Carme Julia; Vicente del Valle; Debora Gil; Petia Radeva edit  openurl
  Title Ecografia Intracoronaria: Segmentacio Automatica de area de la llum Type Journal
  Year 2002 Publication (up) Revista Societat Catalana de Cardiologia Abbreviated Journal  
  Volume 4 Issue 4 Pages 42  
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  Abstract  
  Address Barcelona  
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  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference XIVe Congres de la Societat Catalana de Cardiologia  
  Notes MILAB;IAM Approved no  
  Call Number BCNPCL @ bcnpcl @ RMF2002 Serial 435  
Permanent link to this record
 
 
Author A. Restrepo; Angel Sappa; M. Devy edit  url
openurl 
  Title Edge registration versus triangular mesh registration, a comparative study Type Journal
  Year 2005 Publication (up) Signal Processing: Image Communication 20: 853–868 (IF: 1.264) Abbreviated Journal  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ RSD2005 Serial 567  
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Author Carles Fernandez; Pau Baiget; Xavier Roca; Jordi Gonzalez edit  openurl
  Title Interpretation of Complex Situations in a Semantic-based Surveillance Framework Type Journal
  Year 2008 Publication (up) Signal Processing: Image Communication, Special Issue on Semantic Analysis for Interactive Multimedia Services Abbreviated Journal  
  Volume 23 Issue 7 Pages 554-569  
  Keywords Cognitive vision system; Situation analysis; Applied ontologies  
  Abstract The integration of cognitive capabilities in computer vision systems requires both to enable high semantic expressiveness and to deal with high computational costs as large amounts of data are involved in the analysis. This contribution describes a cognitive vision system conceived to automatically provide high-level interpretations of complex real-time situations in outdoor and indoor scenarios, and to eventually maintain communication with casual end users in multiple languages. The main contributions are: (i) the design of an integrative multilevel architecture for cognitive surveillance purposes; (ii) the proposal of a coherent taxonomy of knowledge to guide the process of interpretation, which leads to the conception of a situation-based ontology; (iii) the use of situational analysis for content detection and a progressive interpretation of semantically rich scenes, by managing incomplete or uncertain knowledge, and (iv) the use of such an ontological background to enable multilingual capabilities and advanced end-user interfaces. Experimental results are provided to show the feasibility of the proposed approach.  
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  Notes ISE Approved no  
  Call Number ISE @ ise @ FBR2008 Serial 954  
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Author Fadi Dornaika; Bogdan Raducanu edit  openurl
  Title Inferring Facial Expressions from Videos: Tool and Application Type Journal
  Year 2007 Publication (up) Signal Processing: Image Communication, vol. 22(9):769–784 Abbreviated Journal  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ DoR2007b Serial 918  
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Author Yasuko Sugito; Trevor Canham; Javier Vazquez; Marcelo Bertalmio edit  url
doi  openurl
  Title A Study of Objective Quality Metrics for HLG-Based HDR/WCG Image Coding Type Journal
  Year 2021 Publication (up) SMPTE Motion Imaging Journal Abbreviated Journal SMPTE  
  Volume 130 Issue 4 Pages 53 - 65  
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  Abstract In this work, we study the suitability of high dynamic range, wide color gamut (HDR/WCG) objective quality metrics to assess the perceived deterioration of compressed images encoded using the hybrid log-gamma (HLG) method, which is the standard for HDR television. Several image quality metrics have been developed to deal specifically with HDR content, although in previous work we showed that the best results (i.e., better matches to the opinion of human expert observers) are obtained by an HDR metric that consists simply in applying a given standard dynamic range metric, called visual information fidelity (VIF), directly to HLG-encoded images. However, all these HDR metrics ignore the chroma components for their calculations, that is, they consider only the luminance channel. For this reason, in the current work, we conduct subjective evaluation experiments in a professional setting using compressed HDR/WCG images encoded with HLG and analyze the ability of the best HDR metric to detect perceivable distortions in the chroma components, as well as the suitability of popular color metrics (including ΔITPR , which supports parameters for HLG) to correlate with the opinion scores. Our first contribution is to show that there is a need to consider the chroma components in HDR metrics, as there are color distortions that subjects perceive but that the best HDR metric fails to detect. Our second contribution is the surprising result that VIF, which utilizes only the luminance channel, correlates much better with the subjective evaluation scores than the metrics investigated that do consider the color components.  
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  Notes CIC Approved no  
  Call Number SCV2021 Serial 3671  
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Author Aymen Azaza; Joost Van de Weijer; Ali Douik; Javad Zolfaghari Bengar; Marc Masana edit  url
openurl 
  Title Saliency from High-Level Semantic Image Features Type Journal
  Year 2020 Publication (up) SN Computer Science Abbreviated Journal SN  
  Volume 1 Issue 4 Pages 1-12  
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  Abstract Top-down semantic information is known to play an important role in assigning saliency. Recently, large strides have been made in improving state-of-the-art semantic image understanding in the fields of object detection and semantic segmentation. Therefore, since these methods have now reached a high-level of maturity, evaluation of the impact of high-level image understanding on saliency estimation is now feasible. We propose several saliency features which are computed from object detection and semantic segmentation results. We combine these features with a standard baseline method for saliency detection to evaluate their importance. Experiments demonstrate that the proposed features derived from object detection and semantic segmentation improve saliency estimation significantly. Moreover, they show that our method obtains state-of-the-art results on (FT, ImgSal, and SOD datasets) and obtains competitive results on four other datasets (ECSSD, PASCAL-S, MSRA-B, and HKU-IS).  
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  Notes LAMP; 600.120; 600.109; 600.106 Approved no  
  Call Number Admin @ si @ AWD2020 Serial 3503  
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Author Fernando Vilariño; Dimosthenis Karatzas; Alberto Valcarce edit  openurl
  Title The Library Living Lab Barcelona: A participative approach to technology as an enabling factor for innovation in cultural spaces Type Journal
  Year 2018 Publication (up) Technology Innovation Management Review Abbreviated Journal  
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  Notes DAG; MV; 600.097; 600.121; 600.129;SIAI Approved no  
  Call Number Admin @ si @ VKV2018a Serial 3153  
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