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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...
In this paper, a quasi-automatic video matting approach which can preserve the temporal consistency of the alpha mattes is presented. “Quasi-automatic” means that it only needs a few user interactions on the first frame. A new algorithm which incorporates the Bayesian Estimation, Weighted Kernel Density Estimation (WKDE) and graph cut is presented to automatically and accurately segment each frame...
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...
Character localization in video sequences is considered a complex and diverse problem. This task can be decomposed into two clearly separate problems: localizing the character regions in the source image, and recognizing characters within the regions found. This paper presents a character localization strategy that significantly reduces the computing requirement of this task. First we present the...
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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