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:
2014-10-19
09:49

22 p, 1.9 MB
A PGM-based System for Arabic HandwrittenWord Recognition / Kacem, Afef ; Khémiri, Akram ; Belaid, Abdel
This paper describes a system for off-line recognition of handwritten Arabic words. It uses simple andeasily extractable features to construct feature vectors for words in the vocabulary. Some of these features are statistical, based on pixel distributions and local pixel configurations. [...]
ELCVIA : Electronic Letters on Computer Vision and Image Analysis  
2014-10-09
09:51
Multitier Biometric Template Security Using Cryptographic Salts and Personal Image Identification / KHANDELWAL, SARIKA S (Mewar university,chittorgarh) ; Gupta, prakash C (kota university,kota)
Individual identification can be accurately done by measuring biological parameters termed as biometrics. These have been proved as an exceptional tool for identity verification. Security of biometric template is the most challenging aspect of biometric identification system. [...]
ELCVIA : Electronic Letters on Computer Vision and Image Analysis (Regular Issue)
   
2014-10-01
09:54

12 p
Swarm-based Descriptor Combination and its Application for Image Classification / Mansano, Alex Fernandes (São Paulo State University, Brazil. Department of Computing) ; Matsuoka, Jessica Akemi (São Paulo State University, Brazil. Department of Computing) ; Abiuzzi, Nikolas Mota (São Paulo State University, Brazil. Department of Computing) ; Afonso, Luis Claudio Sugi (São Paulo State University, Brazil. Department of Computing) ; Papa, Joao Paulo (São Paulo State University, Brazil. Department of Computing) ; Faria, Fábio A (University of Campinas, Brazil. Institute of Computing) ; Torres, Ricardo Silva (University of Campinas, Brazil. Institute of Computing) ; Falcao, Alexandre Xavier (University of Campinas, Brazil. Institute of Computing)
In this paper, we deal with the descriptor combination problem in image classification tasks. This problem refers to the definition of an appropriate combination of image content descriptors that characterize different visual properties, such as color, shape and texture. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 3 (2014) , p. 13-27  
2014-09-17
09:49

12 p
Reduced egomotion estimation drift using omnidirectional views / Bastanlar, Yalin (Izmir Institute of Technology. Department of Computer Engineering)
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. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 3 (2014) , p. 1-12  
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