ELCVIA : Electronic Letters on Computer Vision and Image Analysis
ELCVIA (ISSN electrónico 1577-5097) es una revista exclusivamente electrónica conocida a nivel internacional sobre investigación y aplicaciones de la visión por computadora y el análisis de imágenes. Su comité editorial está formado por expertos reconocidos internacionalmente. Todos los artículos son revisados por especialistas mediante peer-review y actualmente tiene un porcentaje de aceptación del 25% de los artículos recibidos. Los principales objetivos de la revista son:
  • Ser una revista de referencia a nivel internacional en el campo de la Visión por Computador.
  • Ser una publicación de calidad.
  • Ser un medio de comunicación rápido y dinámico, con una revisión rápida de los artículos.
  • Tener índice de impacto dentro de la base de datos de SCI.
Últimas adquisiciones:
2016-11-23
06:18
16 p, 2.3 MB A critical appraisal on wavelet based features from brain MR images for efficient characterization of ischemic stroke injuries / Karthik, R. (VIT University (Chennai, Índia)) ; Menaka, R. (VIT University (Chennai, Índia))
Ischemic stroke is a severe neuro disorder typically characterized by a block inside a blood vessel supplying blood to the brain. It remains the third leading cause for death, after heart attack and cancer. [...]
2016 - 10.5565/rev/elcvia.804
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 3 (2016) , p. 1-16 (Regular Issue)  
2016-11-14
10:39
3 p, 117.1 KB Hierarchical Visual Content Modelling and Query based on Trees / Setyanto, Arief (University of Essex. School of Computer Science and ELectronics Engineering)
In recent years, such vast archives of video information have become available that human annotation of content is no longer feasible; automation of video content analysis is therefore highly desirable. [...]
2016 - 10.5565/rev/elcvia.952
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 2 (2016) , p. 40-42  
2016-11-09
09:32
3 p, 143.7 KB Automated Analysis of Orthopaedic X-ray Images based on Digital-Geometric Techniques / Bandyopadhyay, Oishila ; Biswas, Arindam, dir. ; Bhattacharya, Bhargab B., dir.
This thesis reports several methods for automated analysis and interpretation of bone X-ray images. Automatic segmentation of the bone part in a digital X-ray image is a challenging problem because of its low contrast against the surrounding flesh. [...]
2016 - 10.5565/rev/elcvia.970
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 2 (2016) , p. 7-9 (Special Issue on Recent PhD Thesis Dissemination (2016))  
2016-11-09
09:32
2 p, 566.6 KB Contributions to Gait Recognition Using Multiple-Views / López-Fernández, David ; Madrid-Cuevas, F. J., dir. ; Carmona-Poyato, A., dir.
This thesis focuses on identifying people by the way they walk. The problem of gait recognition has been addressed by using different approaches, both in the 2D and 3D domains, and using one or multiple views. [...]
2016 - 10.5565/rev/elcvia.946
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 2 (2016) , p. 22-23 (Special Issue on Recent PhD Thesis Dissemination (2016))  
2016-11-09
09:32
3 p, 507.5 KB Remote Authentication Using Vaulted Fingerprint Verification / Alzahrani, Hamdan Ahmed ; Boult, Terrance E., dir.
With the rise of the Internet, remote verification of identity is an increasingly important part of modern life. From online banking systems to personal data storage to software as a service, most aspects of modern life require identity verification. [...]
2016 - 10.5565/rev/elcvia.985
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 2 (2016) , p. 37-39 (Special Issue on Recent PhD Thesis Dissemination (2016))  
2016-11-09
09:32
3 p, 1.0 MB A Confidence Framework for the Assessment of Optical Flow Performance / Márquez Valle, Patricia ; Gil Resina, Debora, dir. (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Hernàndez i Sabaté, Aura, dir. (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Optical Flow (OF) is the input of a wide range of decision support systems such as car driver assistance, UAV guiding or medical diagnose. In these real situations, the absence of ground truth forces to assess OF quality using quantities computed from either sequences or the computed optical flow itself. [...]
2016 - 10.5565/rev/elcvia.949
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 2 (2016) , p. 4-6 (Special Issue on Recent PhD Thesis Dissemination (2016))  
2016-11-09
09:32
3 p, 371.5 KB A variational approach to denoising problem / Thanh, Dang Ngoc Hoang ; Sergey, Dvoenko, dir.
A digital image can be created by different digital devices, such as digital cameras, X-ray scanners, etc. In practice, such devices can give unexpected defects, for example, noise. The Gaussian noise and Poisson noise are very important, but their combination is important too. [...]
2016 - 10.5565/rev/elcvia.991
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 2 (2016) , p. 19-21 (Special Issue on Recent PhD Thesis Dissemination (2016))  
2016-11-09
09:32
4 p, 188.9 KB Memory Organization for Invariant Object Recognition and Categorization / Donatti, Guillermo Sebastián ; Wurtz, Rolf P., dir. (Ruhr University. Institute for Neural Computation)
Using distributed representations of objects enables artificial systems to be more versatile regarding inter- and intra-category variability, improving the appearance-based modeling of visual object understanding. [...]
2016 - 10.5565/rev/elcvia.954
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 2 (2016) , p. 33-36 (Special Issue on Recent PhD Thesis Dissemination (2016))  
2016-11-09
09:32
3 p, 743.1 KB Image Processing Algorithms for Driver Assistance using Wide Angle Cameras / Houben, Sebastian ; Schner, Gregor, dir. ; Wrtz, Rolf, dir.
Modern vehicles are deployed with a large number of sensors in order to provide a rich spectrum of driver assistance functionality. These systems enhance security and comfort of passengers and other traffic participants alike, but they also pave the road to fully autonomous traffic. [...]
2016 - 10.5565/rev/elcvia.943
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 2 (2016) , p. 1-3 (Special Issue on Recent PhD Thesis Dissemination (2016))  
2016-11-09
09:32
3 p, 311.0 KB Statistical and deterministic approaches for multimedia forensics / Pasquini, Cecilia ; Boato, Giulia, dir.
The increasing availability and pervasiveness of multimedia data in our society is before our very eyes. As a result of globalization and worldwide connectivity, people from all over the planet are exchanging constantly increasing amounts of images, videos, audio recordings on a daily basis. [...]
2016 - 10.5565/rev/elcvia.984
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 2 (2016) , p. 16-18 (Special Issue on Recent PhD Thesis Dissemination (2016))