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Author Oriol Pujol; Petia Radeva edit  openurl
  Title Solving Particularization with Supervised Clustering Competition Scheme Type Book Chapter
  Year 2005 Publication Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3523: 11–18 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Estoril (Portugal)  
  Corporate Author Thesis  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes (up) MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ PuR2005b Serial 557  
Permanent link to this record
 
 
Author Oriol Pujol; Petia Radeva edit  openurl
  Title On the assessment of texture descriptors in intravascular ultrasound images: A boosting approach to a feasible plaque classification Type Book Chapter
  Year 2005 Publication Plaque Imaging: Pixel to Molecular Level, IOS Press, J. Suri et al. (Eds.), 113: 276–299, ISBN: 1–58603–516–9 Abbreviated Journal  
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  Area Expedition Conference  
  Notes (up) MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ PuR2005a Serial 563  
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Author Sergio Escalera; Oriol Pujol; Petia Radeva edit  openurl
  Title Decoding of Ternary Error Correcting Output Codes Type Book Chapter
  Year 2006 Publication 11th Iberoamerican Congress on Pattern Recognition (CIARP´06), LNCS 4225: 753–763 Abbreviated Journal  
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  Abstract  
  Address Cancun (Mexico)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes (up) MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ EPR2006e Serial 696  
Permanent link to this record
 
 
Author Karla Lizbeth Caballero; Joel Barajas; Oriol Pujol; Neus Salvatella; Petia Radeva edit  openurl
  Title In-Vivo IVUS Tissue Classification: A Comparison Between RF Signal Analysis and Reconstructed Images Type Book Chapter
  Year 2006 Publication 11th Iberoamerican Congress on Pattern Recognition (CIARP´06), LNCS 4225: 137–146 Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address Cancun (Mexico)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes (up) MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ CBP2006c Serial 724  
Permanent link to this record
 
 
Author Sergio Escalera; Oriol Pujol; Petia Radeva edit  openurl
  Title Robust Complex Salient Regions Type Book Chapter
  Year 2007 Publication 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4478:113–121 Abbreviated Journal  
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  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes (up) MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ EPR2007b Serial 906  
Permanent link to this record
 
 
Author Sergio Escalera; Oriol Pujol; Petia Radeva edit  openurl
  Title Sub-Class Error-Correcting Output Codes Type Book Chapter
  Year 2008 Publication Computer Vision Systems. 6th International Conference Abbreviated Journal  
  Volume 5008 Issue Pages 494–504  
  Keywords  
  Abstract  
  Address Santorini (Greece)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ICVS  
  Notes (up) MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ EPR2008c Serial 963  
Permanent link to this record
 
 
Author Carlo Gatta; Oriol Pujol; Oriol Rodriguez-Leor; J. Mauri; Petia Radeva edit  openurl
  Title Robust Image-based IVUS Pullbacks Gating Type Book Chapter
  Year 2008 Publication Proceedings 11th International ConferenceMedical Image Computing and Computer–Assisted Intervention Abbreviated Journal  
  Volume 5242 Issue Pages 518–525  
  Keywords  
  Abstract  
  Address NY (USA)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference MICCAI  
  Notes (up) MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ GPR2008a Serial 1037  
Permanent link to this record
 
 
Author Sergio Escalera; David M.J. Tax; Oriol Pujol; Petia Radeva; Robert P.W. Duin edit  doi
isbn  openurl
  Title Multi-Class Classification in Image Analysis Via Error-Correcting Output Codes Type Book Chapter
  Year 2011 Publication Innovations in Intelligent Image Analysis Abbreviated Journal  
  Volume 339 Issue Pages 7-29  
  Keywords  
  Abstract A common way to model multi-class classification problems is by means of Error-Correcting Output Codes (ECOC). Given a multi-class problem, the ECOC technique designs a codeword for each class, where each position of the code identifies the membership of the class for a given binary problem.A classification decision is obtained by assigning the label of the class with the closest code. In this paper, we overview the state-of-the-art on ECOC designs and test them in real applications. Results on different multi-class data sets show the benefits of using the ensemble of classifiers when categorizing objects in images.  
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  Publisher Springer Berlin Heidelberg Place of Publication Berlin Editor H. Kawasnicka; L.Jain  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1860-949X ISBN 978-3-642-17933-4 Medium  
  Area Expedition Conference  
  Notes (up) MILAB;HuPBA Approved no  
  Call Number Admin @ si @ ETP2011 Serial 1746  
Permanent link to this record
 
 
Author Xavier Perez Sala; Laura Igual; Sergio Escalera; Cecilio Angulo edit   pdf
doi  openurl
  Title Uniform Sampling of Rotations for Discrete and Continuous Learning of 2D Shape Models Type Book Chapter
  Year 2012 Publication Vision Robotics: Technologies for Machine Learning and Vision Applications Abbreviated Journal  
  Volume Issue 2 Pages 23-42  
  Keywords  
  Abstract Different methodologies of uniform sampling over the rotation group, SO(3), for building unbiased 2D shape models from 3D objects are introduced and reviewed in this chapter. State-of-the-art non uniform sampling approaches are discussed, and uniform sampling methods using Euler angles and quaternions are introduced. Moreover, since presented work is oriented to model building applications, it is not limited to general discrete methods to obtain uniform 3D rotations, but also from a continuous point of view in the case of Procrustes Analysis.  
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  Publisher IGI-Global Place of Publication Editor  
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  Notes (up) MILAB;HuPBA Approved no  
  Call Number Admin @ si @ PIE2012 Serial 2064  
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Author Laura Igual; Joan Carles Soliva; Antonio Hernandez; Sergio Escalera; Oscar Vilarroya; Petia Radeva edit  url
isbn  openurl
  Title A Supervised Graph-cut Deformable Model for Brain MRI Segmentation. Deformation models: tracking, animation and applications Type Book Chapter
  Year 2012 Publication Computational Vision and Biomechanics Abbreviated Journal  
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  Publisher Springer Netherlands Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-94-007-5445-4 Medium  
  Area Expedition Conference  
  Notes (up) MILAB;HuPBA Approved no  
  Call Number Admin @ si @ ISH2012b Serial 2066  
Permanent link to this record
 
 
Author Ole Vilhelm-Larsen; Petia Radeva; Enric Marti edit   pdf
doi  openurl
  Title Guidelines for choosing optimal parameters of elasticity for snakes Type Book Chapter
  Year 1995 Publication Computer Analysis Of Images And Patterns Abbreviated Journal LNCS  
  Volume 970 Issue Pages 106-113  
  Keywords  
  Abstract This paper proposes a guidance in the process of choosing and using the parameters of elasticity of a snake in order to obtain a precise segmentation. A new two step procedure is defined based on upper and lower bounds on the parameters. Formulas, by which these bounds can be calculated for real images where parts of the contour may be missing, are presented. Experiments on segmentation of bone structures in X-ray images have verified the usefulness of the new procedure.  
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  Language Summary Language Original Title  
  Series Editor Series Title Lecture Notes in Computer Science Abbreviated Series Title LNCS  
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  Notes (up) MILAB;IAM Approved no  
  Call Number IAM @ iam @ LRM1995b Serial 1558  
Permanent link to this record
 
 
Author Patricia Suarez; Angel Sappa; Boris X. Vintimilla edit   pdf
url  openurl
  Title Deep learning-based vegetation index estimation Type Book Chapter
  Year 2021 Publication Generative Adversarial Networks for Image-to-Image Translation Abbreviated Journal  
  Volume Issue Pages 205-234  
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  Abstract Chapter 9  
  Address  
  Corporate Author Thesis  
  Publisher Elsevier Place of Publication Editor A.Solanki; A.Nayyar; M.Naved  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
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  Area Expedition Conference  
  Notes (up) MSIAU; 600.122 Approved no  
  Call Number Admin @ si @ SSV2021a Serial 3578  
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Author Michael Teutsch; Angel Sappa; Riad I. Hammoud edit  doi
isbn  openurl
  Title Cross-Spectral Image Processing Type Book Chapter
  Year 2022 Publication Computer Vision in the Infrared Spectrum. Synthesis Lectures on Computer Vision Abbreviated Journal  
  Volume Issue Pages 23-34  
  Keywords  
  Abstract Although this book is on IR computer vision and its main focus lies on IR image and video processing and analysis, a special attention is dedicated to cross-spectral image processing due to the increasing number of publications and applications in this domain. In these cross-spectral frameworks, IR information is used together with information from other spectral bands to tackle some specific problems by developing more robust solutions. Tasks considered for cross-spectral processing are for instance dehazing, segmentation, vegetation index estimation, or face recognition. This increasing number of applications is motivated by cross- and multi-spectral camera setups available already on the market like for example smartphones, remote sensing multispectral cameras, or multi-spectral cameras for automotive systems or drones. In this chapter, different cross-spectral image processing techniques will be reviewed together with possible applications. Initially, image registration approaches for the cross-spectral case are reviewed: the registration stage is the first image processing task, which is needed to align images acquired by different sensors within the same reference coordinate system. Then, recent cross-spectral image colorization approaches, which are intended to colorize infrared images for different applications are presented. Finally, the cross-spectral image enhancement problem is tackled by including guided super resolution techniques, image dehazing approaches, cross-spectral filtering and edge detection. Figure 3.1 illustrates cross-spectral image processing stages as well as their possible connections. Table 3.1 presents some of the available public cross-spectral datasets generally used as reference data to evaluate cross-spectral image registration, colorization, enhancement, or exploitation results.  
  Address  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title SLCV  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-3-031-00698-2 Medium  
  Area Expedition Conference  
  Notes (up) MSIAU; MACO Approved no  
  Call Number Admin @ si @ TSH2022b Serial 3805  
Permanent link to this record
 
 
Author Michael Teutsch; Angel Sappa; Riad I. Hammoud edit  doi
isbn  openurl
  Title Detection, Classification, and Tracking Type Book Chapter
  Year 2022 Publication Computer Vision in the Infrared Spectrum. Synthesis Lectures on Computer Vision Abbreviated Journal  
  Volume Issue Pages 35-58  
  Keywords  
  Abstract Automatic image and video exploitation or content analysis is a technique to extract higher-level information from a scene such as objects, behavior, (inter-)actions, environment, or even weather conditions. The relevant information is assumed to be contained in the two-dimensional signal provided in an image (width and height in pixels) or the three-dimensional signal provided in a video (width, height, and time). But also intermediate-level information such as object classes [196], locations [197], or motion [198] can help applications to fulfill certain tasks such as intelligent compression [199], video summarization [200], or video retrieval [201]. Usually, videos with their temporal dimension are a richer source of data compared to single images [202] and thus certain video content can be extracted from videos only such as object motion or object behavior. Often, machine learning or nowadays deep learning techniques are utilized to model prior knowledge about object or scene appearance using labeled training samples [203, 204]. After a learning phase, these models are then applied in real world applications, which is called inference.  
  Address  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title SLCV  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-3-031-00698-2 Medium  
  Area Expedition Conference  
  Notes (up) MSIAU; MACO Approved no  
  Call Number Admin @ si @ TSH2022c Serial 3806  
Permanent link to this record
 
 
Author Michael Teutsch; Angel Sappa; Riad I. Hammoud edit  doi
openurl 
  Title Image and Video Enhancement Type Book Chapter
  Year 2022 Publication Computer Vision in the Infrared Spectrum. Synthesis Lectures on Computer Vision Abbreviated Journal  
  Volume Issue Pages 9-21  
  Keywords  
  Abstract Image and video enhancement aims at improving the signal quality relative to imaging artifacts such as noise and blur or atmospheric perturbations such as turbulence and haze. It is usually performed in order to assist humans in analyzing image and video content or simply to present humans visually appealing images and videos. However, image and video enhancement can also be used as a preprocessing technique to ease the task and thus improve the performance of subsequent automatic image content analysis algorithms: preceding dehazing can improve object detection as shown by [23] or explicit turbulence modeling can improve moving object detection as discussed by [24]. But it remains an open question whether image and video enhancement should rather be performed explicitly as a preprocessing step or implicitly for example by feeding affected images directly to a neural network for image content analysis like object detection [25]. Especially for real-time video processing at low latency it can be better to handle image perturbation implicitly in order to minimize the processing time of an algorithm. This can be achieved by making algorithms for image content analysis robust or even invariant to perturbations such as noise or blur. Additionally, mistakes of an individual preprocessing module can obviously affect the quality of the entire processing pipeline.  
  Address  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title SLCV  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes (up) MSIAU; MACO Approved no  
  Call Number Admin @ si @ TSH2022a Serial 3807  
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