ELCVIA : Electronic Letters on Computer Vision and Image Analysis
ELCVIA (ISSN electrònic 1577-5097) és una revista exclusivament electrònica coneguda a nivell internacional sobre recerca i aplicacions de la visió per computador i l’anàlisi d’imatges. El seu comitè editorial està format per experts reconeguts a nivell internacional. Tots els articles són revisats per especialistes mitjançant peer-review, i actualment té un percentatge d'acceptació del 25% dels articles rebuts. Els principals objectius de la revista són:
  • Ser una revista de referència a nivell internacional dins del camp de la Visió per Computador.
  • Ser una publicació de qualitat.
  • Ser un mitjà de comunicació ràpid i dinàmic, amb una revisió ràpida dels articles.
  • Tenir índex d'impacte dins la base de dades de l'SCI.
Estadístiques d'ús Els més consultats
Darreres entrades:
2018-06-20
05:05
15 p, 1.8 MB Depth Data Error Modeling of the ZED 3D Vision Sensor from Stereolabs / Ortiz, Luis Enrique (Universidade Federal do Rio Grande do Norte. Department of Computer Engineering and Automation) ; Cabrera, Elizabeth V. (Universidade Federal do Rio Grande do Norte. Department of Computer Engineering and Automation) ; Goncalves, Luiz M. (Universidade Federal do Rio Grande do Norte. Department of Computer Engineering and Automation)
The ZED camera is binocular vision system that can be used to provide a 3D perception of the world. It can be applied in autonomous robot navigation, virtual reality, tracking, motion analysis and so on. [...]
2018 - 10.5565/rev/elcvia.1084
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 17 Núm. 1 (2018) , p. 1-15 (Regular Issue)  
2018-04-09
05:05
4 p, 225.2 KB Video Processing for Remote Respiration Monitoring / Alinovi, Davide ; Raheli, Riccardo, dir.
Monitoring of vital signs is a key tool in medical diagnostics. Among fundamental vital parameters, the Respiratory Rate (RR) plays an important role as indicator of possible pathological events. For this reason, respiration needs to be carefully monitored in order to detect potential signs indicating possible changes of health conditions. [...]
2017 - 10.5565/rev/elcvia.1124
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 9-12 (Special Issue on Recent PhD Thesis Dissemination (2017))  
2018-04-09
05:05
4 p, 165.6 KB Facial attributes recognition using computer vision to detect drowsiness and distraction in drivers / Fernández Villán, Alberto (TSK, Technological Scientific Park of Gijon) ; Usamentiaga Fernández, Rubén, dir. (Universidad de Oviedo. Departamento de Informática) ; Casado, Rubén, dir.
Driving is an activity that requires a high degree of concentration on the part of the person who performs it, since the slightest negligence is sufficient to provoke an accident with the consequent material and/or human losses. [...]
2017 - 10.5565/rev/elcvia.1134
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 25-28 (Special Issue on Recent PhD Thesis Dissemination (2017))  
2018-04-09
05:05
4 p, 515.1 KB Selection of relevant information to improve Image Classification using Bag of Visual Words / Fidalgo Fernández, Eduardo ; Alegre Gutiérrez, Enrique, dir. (Universidad de León. Departamento de Ingeniería Eléctrica y de Sistemas y Automática) ; González Castro, Victor, dir. (Universidad de León. Departamento de Ingeniería Eléctrica y de Sistemas y Automática)
One of the main challenges in computer vision is image classification. Nowadays the number of images increases exponentially every day; therefore, it is important to classify them in a reliable way. [...]
2017 - 10.5565/rev/elcvia.1102
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 5-8 (Special Issue on Recent PhD Thesis Dissemination (2017))  
2018-04-09
05:05
4 p, 185.5 KB Uncertainty Theories Based Iris Recognition System / Bellaaj, Majd (University of Sfax (Sfax, Tunísia). National Engineering School of Sfax) ; Khanfir Kallel, Imen (University of Sfax (Sfax, Tunísia). National Engineering School of Sfax) ; Sellami, Dorra (University of Sfax (Sfax, Tunísia). National Engineering School of Sfax)
The performance and robustness of the iris-based recognition systems still suffer from imperfection in the biometric information. This paper makes an attempt to address these imperfections and deals with important problem for real system. [...]
2017 - 10.5565/rev/elcvia.1131
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 29-32 (Special Issue on Recent PhD Thesis Dissemination (2017))  
2018-04-09
05:05
4 p, 390.0 KB Feature extraction algorithms from MRI to evaluate quality parameters on meat products by using data mining / Caballero Jorna, Daniel ; Caro Lindo, Andrés, dir. (Universidad de Extremadura. Departamento de Ingeniería de Sistemas Informáticos y Telemáticos) ; Antequera Rojas, Teresa, dir. (Universidad de Extremadura. Departamento de Ingeniería de Sistemas Informáticos y Telemáticos) ; Pérez-Palacios, Trinidad, dir. (Universidad de Extremadura. Departamento de Ingeniería de Sistemas Informáticos y Telemáticos)
This thesis proposes a new methodology to determine the quality characteristics of meat products (Iberian loin and ham) in a non-destructive way. For that, new algorithms have been developed to analyze Magnetic Resonance Imaging (MRI), and data mining techniques have been applied on data obtained from the images. [...]
2017 - 10.5565/rev/elcvia.1100
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 1-4 (Special Issue on Recent PhD Thesis Dissemination (2017))  
2018-04-09
05:05
4 p, 467.3 KB Recognition and retrieval of objects in diverse applications / Fernández-Robles, Laura ; Alegre Gutiérrez, Enrique, dir. (Universidad de León. Departamento de Ingeniería Eléctrica y de Sistemas y Automática) ; Castejón Limas, Manuel, dir. (Universidad de León. Departamento de Ingeniería Eléctrica y de Sistemas y Automática) ; Petkov, Nicolai, dir. (University of Groningen. Johann Bernoulli Institute for Mathematics and Computer Science)
This work proposes and evaluates object description and retrieval techniques in different real applications. It addresses the classification of boar spermatozoa according to acrosome integrity using several methods based on invariant local features. [...]
2017 - 10.5565/rev/elcvia.1130
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 21-24 (Special Issue on Recent PhD Thesis Dissemination (2017))  
2018-04-09
05:05
4 p, 107.2 KB Learning audio and image representations with bio-inspired trainable feature extractors / Strisciuglio, Nicola (University of Groningen. Johann Bernoulli Institute for Mathematics and Computer Science)
Since when very young, we can quickly learn new concepts, and distinguish between different kinds of object or sound. If we see a single object or hear a particular sound, we are then able to recognize such sample or even different versions of it in other scenarios. [...]
2017 - 10.5565/rev/elcvia.1128
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 17-20 (Special Issue on Recent PhD Thesis Dissemination (2017))  
2018-04-09
05:05
4 p, 1.6 MB Detail Enhanced Multi-Exposure Image Fusion Based On Edge Preserving Filters / Singh, Harbinder ; Vidya Bhooshan, Sunil, dir. (Jaypee University of Information Technlogy-JUIT (Índia))
Recent computational photography techniques play a significant role to overcome the limitation of standard digital cameras for handling wide dynamic range of real-world scenes contain brightly and poorly illuminated areas. [...]
2017 - 10.5565/rev/elcvia.1126
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 13-16 (Special Issue on Recent PhD Thesis Dissemination (2017))  
2018-04-09
05:05
3 p, 371.7 KB Contributions to the Problem of Fight Detection in Video / Serrano-Gracia, Ismael (University of Castilla-La Mancha) ; Déniz Suárez, Óscar, dir. (Universidad de Castilla-La Mancha. Departamento de Ingeniería Eléctrica, Electrónica, Automática y Comunicaciones) ; Bueno García, Gloria, dir. (Universidad de Castilla-La Mancha. Departamento de Ingeniería Eléctrica, Electrónica, Automática y Comunicaciones)
While action detection has become an important line of research in computer vision, the detection of particular events such as violence, aggression or fights, has been relatively less studied. These tasks may be extremely useful in several video surveillance scenarios such as psychiatric wards, prisons or even in camera smartphones. [...]
2017 - 10.5565/rev/elcvia.1135
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 33-36 (Special Issue on Recent PhD Thesis Dissemination (2017))