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RGB color signals encoding is more desirable for high resolution and accurate definition for saturations and hue. This paper presents a region adaptive inter-color prediction scheme for 4:4:4 RGB signals, which treats G component as a primary component and predicts B/R component from G component with different weighting factors based on different texture regions. The proposed algorithm demonstrates...
To segment foreground objects and moving shadows in visual surveillance environment, this paper proposes an algorithm by exploiting color information, illumination invariants and spatial information. The presence of a shadow is first hypothesized with simple evidence that shadows darken the surface which they are cast upon. Derivatives of illumination invariants are then used to classify the potential...
Current TV image enhancement can be improved if the image is analyzed, objects of interest are segmented, and each segment is processed with content-specific enhancement algorithms. In this paper we present an algorithm for segmenting grass areas in video sequences. The system employs multi-scale texture analysis and adaptive color and position models for computing a pixel-based soft segmentation...
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