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:
2014-09-17
09:49

12 p
Reduced egomotion estimation drift using omnidirectional views / Bastanlar, Yalin (Department of Computer Engineering, Izmir Institute of Technology)
Estimation of camera motion from a given image sequence is a common task for multi-view 3D computer vision applications. Salient features (lines, corners etc. ) in the images are used to estimate the motion of the camera, also called egomotion. [...]
ELCVIA : Electronic Letters on Computer Vision and Image Analysis (Regular Issue)  
2014-07-29
14:03

2 p, 19.5 KB
Moving cast shadow detection / Amato, Ariel
Motion perception is an amazing innate ability of the creatures on the planet. This adroitness entails a functional advantage that enables species to compete better in the wild. The motion perception ability is usually employed at different levels, allowing from the simplest interaction with the ’physis’ up to the most transcendental survival tasks. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 70-71  
2014-07-29
13:54

335 p, 17.2 MB
Exploiting multimedia content : a machine learning based approach / Hassa, Ehtesham
This thesis explores use of machine learning for multimedia content management involving single/multiple features, modalities and concepts. We introduce shape based feature for binary patterns and apply it for recognition and retrieval application in single and multiple feature based architecture. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 69-69
2 documents
2014-07-29
13:42

2 p, 57.6 KB
Automatic information and safety systems for driving assistance / Riem de Oliveira, Miguel Armando
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 49-50
2 documents
2014-07-29
13:33

1 p, 46.7 KB
Colour constancy in natural images through colour naming and sensor sharpening / Vázquez Corral, Javier
Colour is derived from three physical properties: incident light, object reflectance and sensor sensitivities. Incident light varies under natural conditions; hence, recovering scene illuminant is an important issue in computational colour. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 31-31
2 documents
2014-07-29
13:26

3 p, 72.2 KB
Algorithms for selecting parameters of combination of acyclic adjacency graphs in the problem of texture image processing / Viet Sang, Dinh
Nowadays the great interest of researchers in the problem of processing the interrelated data arrays including images is retained. In the modern theory of machine learning, the problem of image processing is often viewed as a problem in the field of graph models. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 35-37
3 documents
2014-07-29
13:20

2 p, 6.5 MB
Multi-class learning for vessel characterisation in intravascular ultrasound / Ciompi, Francesco
In this thesis we tackle the problem of automatic characterization of human coronary vessel in IntravascularUltrasound (IVUS) image modality. The basis for the whole characterization process is machinelearning applied to multi-class problems. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 47-48  
2014-07-29
13:13

3 p, 58.1 KB
Monitoring and diagnosing neonatal seizures by video signal processing / Kouamou Ntonfo, G.M.
In this thesis we consider the use of well-known statistical methods to early diagnose, through wire-free low-cost video processing, the potential presence of seizures. For this purpose several approaches, have been proposed: periodicity-based, classification-based and clustering-based approaches.
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 58-60  
2014-07-29
12:58

2 p, 731.5 KB
Monocular depth cues in computer vision applications / Cheda, Diego
In the computer vision field, if image depth information were available, many tasks could be posed from a different perspective for the sake of higher performance and robustness. In our thesis, we have demonstrated how coarse depth information can be integrated in different tasks following alternative strategies to obtain more precise and robust results in three computer vision applications: camera rotation parameters estimation, background estimation and pedestrian candidate generation.
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 65-66
2 documents
2014-07-29
12:46

2 p, 55.1 KB
Multimodal stereo from thermal infrared and visible spectrum / Barrera, Fernando
Recent advances in thermal infrared imaging (LWIR) has allowed its use in applications beyond of the military domain. Nowadays, this new family of sensors is included in different technical and scientific applications. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 63-64