ELCVIA : Electronic Letters on Computer Vision and Image Analysis
ELCVIA (ISSN 1577-5097 E) is an exclusively electronic journal known internationally for research and applications of computer vision and image analysis. Its editorial board consists of internationally renowned experts. All articles are peer reviewed by peer-review and currently has an acceptance rate of 25% of the items received. The main objectives of the magazine are:
    Being a journal of international reference in the field of computer vision. To be a quality publication. Being a media fast and dynamic, with a quick review of the articles. Being Index impact within the SC database.
Latest additions:
2017-01-25
06:14
16 p, 746.4 KB Design and Stability Analysis of Multi-Objective Ensemble Classifiers / Pourtaheri, Zeinab Khatoun (University of Birjand (Birjand, Iran). Department of Electrical and Computer Engineering) ; Zahiri, Seyed Hamid (University of Birjand (Birjand, Iran). Department of Electrical and Computer Engineering) ; Razavi, Seyed Mohammad (University of Birjand (Birjand, Iran). Department of Electrical and Computer Engineering)
In this paper a novel multi-objective optimization technique based on Inclined Planes Optimization algorithm (called MOIPO), is used to design an ensemble classifier. Diversity, ensemble size, and error rate are three objectives which are considered along designing the proposed ensemble classifier. [...]
2016 - 10.5565/rev/elcvia.929
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 3 (2016) , p. 32-47 (Regular Issue)  
2017-01-25
06:14
15 p, 1.4 MB A block-based background model for moving object detection / Elharrouss, Omar (University of Sidi Mohamed Ben Abdellah (Fez, Marroc). Department of Informatics) ; Abbad, Abdelghafour (University of Sidi Mohamed Ben Abdellah (Fez, Marroc). Department of Informatics) ; Moujahid, Driss (University of Sidi Mohamed Ben Abdellah (Fez, Marroc). Department of Informatics) ; Riffi, Jamal (University of Sidi Mohamed Ben Abdellah (Fez, Marroc). Department of Informatics) ; Tairi, Hamid (University of Sidi Mohamed Ben Abdellah (Fez, Marroc). Department of Informatics)
Detecting the moving objects in a video sequence using a stationary camera is an important task for many computer vision applications. This paper proposes a background subtraction approach. As first step, the background is initialized using the block-based analysis before being updated in each incoming frame. [...]
2016 - 10.5565/rev/elcvia.855
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 3 (2016) , p. 17-31 (Regular Issue)  
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))