ELCVIA

ELCVIA Encontrados 6 registros  La búsqueda tardó 0.01 segundos. 
1.
1 p, 10.0 KB Editorial
2008 - 10.5565/rev/elcvia.154
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 7 n. 1 (2008) p. 0-0  
2.
15 p, 8.8 MB Neighbouring Color Dependence Matrix for Image Analysis : Application to homogeneous and heterogeneous areas detection and characterization / Jacquin, B. (University of Technology of Troyes (Troyes, França)) ; Smolarz, A. (University of Technology of Troyes (Troyes, França))
A new method for color texture characterization and color texture region detection is presented. This method, which we will name NCDM (Neighbouring Color Dependence Matrices), is the extension to color textures of the NGLDM (Neighbouring Gray Level Dependence Matrices) introduced by Sun et al. [...]
2008 - 10.5565/rev/elcvia.149
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 7 n. 1 (2008) p. 1-15  
3.
10 p, 344.7 KB Shot Classification in Broadcast Soccer Video / Tong, Xiaofeng (Chinese Academy of Sciences) ; Liu, Qingshan (Chinese Academy of Sciences) ; Lu, Hanqing (Chinese Academy of Sciences)
In this paper, we present an effective hierarchical shot classification scheme for broadcast soccer video. We first partition a video into replay and non-replay shots with replay logo detection. Then, non-replay shots are further classified into Long, Medium, Close-up or Out-field types with color and texture features based on a decision tree. [...]
2008 - 10.5565/rev/elcvia.270
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 7 n. 1 (2008) p. 16-25  
4.
14 p, 1.1 MB Matching Local Invariant Features with Contextual Information : an Experimental Evaluation. / Sidibe, Desire (LGI2P - Ecole des Mines Ales (Nimes, França)) ; Montesinos, Philippe (LGI2P - Ecole des Mines Ales (Nimes, França)) ; Janaqi, Stefan (LGI2P - Ecole des Mines Ales (Nimes, França))
The main advantage of using local invariant features is their local character which yields robustness to occlusion and varying background. Therefore, local features have proved to be a powerful tool for finding correspondences between images, and have been employed in many applications. [...]
2008 - 10.5565/rev/elcvia.271
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 7 n. 1 (2008) p. 26-39  
5.
14 p, 858.2 KB Gray-level Texture Characterization Based on a New Adaptive Nonlinear Auto-Regressive Filter / Sayadi, Mounir (ESSTT. SICISI Unit (Tunísia)) ; Sakrani, Samir (ESSTT. SICISI Unit (Tunísia)) ; Fnaiech, Farhat (ESSTT. SICISI Unit (Tunísia)) ; Cheriet, Mohamed (École de technologie supérieure, Notre-Dame (Montreal, Canadà))
In this paper, we propose a new nonlinear exponential adaptive two-dimensional (2-D) filter for texture characterization. The filter coefficients are updated with the Least Mean Square (LMS) algorithm. [...]
2008 - 10.5565/rev/elcvia.158
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 7 n. 1 (2008) p. 40-53  
6.
1 p, 29.6 KB List of Reviewers / ELCVIA TEAM
2008 - 10.5565/rev/elcvia.346
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 7 n. 1 (2008) p. 54-54  

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