ELCVIA

ELCVIA 3 records found  Search took 0.01 seconds. 
1.
12 p, 445.7 KB A Novel Watermarking Technique for Tampering Detection in Digital Images / Yang, Chen-Kuei (Ming Chuan University. Department of Computer Science and Information Engineering) ; Huang, Chang-Sheng (Ming Chuan University. Department of Computer and Information Management)
A novel fragile watermarking technique is proposed for hiding logo information into an image by tuning block pixels based on a bitmap parity checking approach. A secure key and a random number generator are used to hide the logo information in a secret, undetectable, and unambiguous way. [...]
2004 - 10.5565/rev/elcvia.65
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 3 n. 1 (2004) p. 1-12  
2.
12 p, 272.2 KB Empirical Validation of the Saliency-based Model of Visual Attention / Ouerhani, Nabil (University of Neuchatel (Suïssa). Institute of Microtechnology) ; Wartburg, Roman von (University of Bern (Suïssa). Department of Neurology) ; Hugli, Heinz (University of Neuchatel (Suïssa). Institute of Microtechnology) ; Müri, René (University of Bern (Suïssa). Department of Neurology)
Visual attention is the ability of the human vision system to detect salient parts of the scene, on which higher vision tasks, such as recognition, can focus. In human vision, it is believed that visual attention is intimately linked to the eye movements and that the fixation points correspond to the location of the salient scene parts. [...]
2004 - 10.5565/rev/elcvia.66
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 3 n. 1 (2004) p. 13-24  
3.
17 p, 165.9 KB Optimization of Weights in a Multiple Classifier Handwritten Word Recognition System Using a Genetic Algorithm / Günter, Simon (University of Bern (Suïssa). Department of Computer Science) ; Bunke, Horst (University of Bern (Suïssa). Department of Computer Science)
Automatic handwritten text recognition by computer has a number of interesting applications. However, due to a great variety of individual writing styles, the problem is very difficult and far from being solved. [...]
2004 - 10.5565/rev/elcvia.67
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 3 n. 1 (2004) p. 25-44  

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