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Home > Articles > Published articles > ELCVIA : Electronic Letters on Computer Vision and Image Analysis

ELCVIA : Electronic Letters on Computer Vision and Image Analysis

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.
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2011-11-07
16:52

10 p, 548.4 KB 		Implementation of Max Principle with PCA in Image Fusion for Surveillance and Navigation Application / Sadhasivam, Senthil Kumar ; Keerthivasan, Mahesh Bharath ; S., Muttan
Image fusion is the combination of two or more different images by using suitable algorithms to form an output image. It provides a useful tool to integrate multiple images into a composite image. In this paper, we present an approach that uses the principle component analysis (PCA) along with the selection of maximum pixel intensity to perform fusion. [...]
2011
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 10, Núm. 1 ( 2011) , p. 1-20  

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2010-11-24
18:44

15 p, 174.7 KB 		A Robust Multi-Feature Cut Detection Algorithm for Video Segmentation / Ciocca, Gianluigi
Video segmentation is the first task in almost all video analysis applications. It consists in identifying the boundaries of the meaningful video units (shots). Without a doubt, cuts are the most common among production effects that characterize the shot boundaries. [...]
2010
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 9, Núm. 1 ( 2010) , p. 32-46  

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2010-11-24
18:37

14 p, 319.4 KB 		Colour Image Segmentation using Fast Fuzzy C-Means Algorithm / Bhoyar, Kishor ; Kakde, Omprakash
This paper proposes modified FCM (Fuzzy C-Means) approach to colour image segmentation using JND (Just Noticeable Difference) histogram. Histogram of the given colour image is computed using JND colour model. [...]
2010
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 9, Núm. 1 ( 2010) , p. 18-31  

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2010-11-24
18:31

17 p, 328.5 KB 		Formalization of the General Video Temporal Synchronization Problem / Whitehead, Anthony ; Laganiere, Robert ; Bose, Prosenjit
In this work, we present a theoretical formalization of the temporal synchronization problem and a method to temporally synchronize multiple stationary video cameras with overlapping views of the same scene. [...]
2010
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 9, Núm. 1 ( 2010) , p. 1-17  

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2010-11-24
17:57

17 p, 328.5 KB 		Formalization of the General Video Temporal Synchronization Problem / Whitehead, Anthony ; Laganiere, Robert ; Bose, Prosenjit
In this work, we present a theoretical formalization of the temporal synchronization problem and a method to temporally synchronize multiple stationary video cameras with overlapping views of the same scene. [...]
2010
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 9, Núm. 1 ( 2010) , p. 1-17  

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2010-09-07
19:24

1 p, 20.5 KB 		List of Reviewers 2009 / ELCVIA TEAM
2009
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 8, Núm. 3 ( 2009) , p. 00-00  

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2010-05-12
15:36

12 p, 2.6 MB 		A Performance Evaluation of Exact and Approximate Match Kernels for Object Recognition / Caputo and Luo Jie, Barbara
Local features have repeatedly shown their effectiveness for object recognition during the last years, and they have consequently become the preferred descriptor for this type of problems. The solution of the correspondence problem is traditionally approached with exact or approximate techniques. [...]
2009
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 8, Núm. 3 ( 2009) , p. 15-26  

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2010-05-12
15:33

14 p, 2.3 MB 		A Svd based scheme for post processing of DCT coded images / Kumar Srivastava, Vinay
In block discrete cosine transform (DCT) based image compression the blocking artifacts are the main cause of degradation, especially at higher compression ratio. In proposed scheme, monotone or edge blocks are identified by examining the DCT coefficients of the block itself. [...]
2009
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 8, Núm. 3 ( 2009) , p. 1-14  

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2010-01-18
15:10

16 p, 2.0 MB 		An Attention Module for Object Detection in Cluttered Images / Lecca, Michela
In this paper, we propose a visual attention module that automatically detects the regions of an input previously unseen image, which are more likely occupied by a known object. The module can be integrated in many object recognition systems for reducing the image space in which to search the object, and the computational costs. [...]
2009
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 8 n. 2 (2009) p. 68-83  

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2010-01-18
15:08

17 p, 839.0 KB 		ROI Based Quality Access Control of Compressed Color Image using DWT via Lifting / Phadikar, Amit ; Maity, Santi P.
Region-of-Interest (ROI) in an image or video signal contains important information and may be used for access control at various qualities using multiresolution analysis (MRA). This paper proposes a novel quality access control method of compressed color image by modulating the coefficients of ROI at various levels. [...]
2009
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 8 n. 2 (2009) p. 51-67  

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