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:
2014-07-28
11:20
Enhanced rotational feature points matching using orientation correction / Meng Goh, Kam ; Rahman Abu-Bakar, Syed Abd. ; Mokji, Musa Mohd. ; Sheikh, Usman U.
In matching between images, several techniques have been developed particularly for estimating orientation assignment in order to make feature points invariant to rotation. However, imperfect estimation of the orientation assignment may lead to feature mismatching and a low number of correctly matched points. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, : 2014  
2014-07-28
11:14
A Novel interest-point-based background subtraction algorithm / Dehghani, Alireza ; Sutherland, Alistair
Current Background Subtraction (BGS) algorithms are mostly pixel-based methods. We propose an Interest-Point(IP)-based BGS algorithm applicable in IP-based Computer Vision applications. Based on a block-wise processing strategy, the frames are divided into blocks of the same size. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, : 2014  
2014-07-28
10:35
Automated classification of cricket pitch frames in cricket video / Bananki Jayanth, Sandesh ; Srinivasa, Gowri
The automated detection of the cricket pitch in a video recording of a cricket match is a fundamental step in content-based indexing and summarization of cricket videos. In this paper, we propose visualcontent based algorithms to automate the extraction of video frames with the cricket pitch in focus. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, : 2014  
2014-07-28
10:15
Autonomous UAV for suspicious action detection using pictorial human pose estimation and classification / Penmetsa, Surya ; Minhuj, Fatima ; Singh, Amarjot ; Omkar, S. N.
Visual autonomous systems capable of monitoring crowded areas and alerting the authorities in occurrence of a suspicious action can play a vital role in controlling crime rate. Previous atte mpts have been made to monitor crime using posture recognition but nothing exclusive to investigating actions of people in large populated area has been cited. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, : 2014  
2014-06-12
20:24

2 p, 5.0 MB
Semantic Awareness for Automatic Image Interpretation / Lindner, Albrecht ; Qualcomm, San Diego, USA
Finding relations between image semantics and image characteristics is a problem of long standing in computer vision, image analysis or related fields. Classic research in these fields is intended for applications that go from the image domain to the semantic domain such as face recognition or scene understanding. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 11-12
3 documents
2014-06-12
20:15

2 p, 73.4 KB
Polyp Localization and Segmentation in Colonoscopy Images by Means of a Model of Appearance for Polyps / Bernal, Jorge ; Universitat Autònoma de Barcelona. Centre de visió per computador
Colorectal cancer is the fourth most common cause of cancer death worldwide and its survival rate depends on the stage in which it is detected on hence the necessity for an early colon screening. There are several screening techniques but colonoscopy is still nowadays the gold standard, although it has some drawbacks such as the miss rate. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 9-10  
2014-06-12
20:05

2 p, 78.0 KB
Optical Flow in Driver Assistance Systems / Onkarappa, Naveen ; Samsung R&D Center, Warsaw, Poland
It is an extended abstract of the PhD thesis titled "Optical Flow in Driver Assistance Systems".
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 61-62  
2014-06-12
19:24

3 p, 32.4 KB
Methods for text segmentation from scene images / Kumar, Deepak ; MILE Laboratory. Department of Electrical Engineering (India)
Camera-captured scene/born-digital image analysis helps in the development of vision for robots to read text, transliterate or translate text, navigate and retrieve search results. However, text in such images does nor follow any standard layout, and its location within the image is random in nature. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 32-34
3 documents
2014-06-12
17:15

2 p, 61.9 KB
Fuzzy Multilevel Graph Embedding for Recognition, Indexing and Retrieval of Graphic Document Images / Muzzamil Luqman, Muhammad
This thesis addresses the problem of lack of efficient computational tools for graph based structural pattern recognition approaches and proposes to exploit computational strength of statistical pattern recognition. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 7-8
3 documents
2014-06-12
16:27

2 p, 71.9 KB
Overcomplete Image Representations for Texture Analysis / Nava, Rodrigo ; Universidad Nacional Autónoma de México
In recent years, computer vision has played an important role in many scientific and technological areas mainlybecause modern society highlights vision over other senses. At the same time, application requirements and complexity have also increased so that in many cases the optimal solution depends on the intrinsic charac-teristics of the problem; therefore, it is difficult to propose a universal image model. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 40-41
2 documents