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We propose an effective image segmentation approach with a novel automatic boundary refinement procedure that requires little user interaction and makes the object cutout process more robust and convenient. It achieves these goals by the following three steps. First, merge over-segmented regions according to the maximal similarity rule using a few marking strokes as input. Second, detect possible...
Video text provides high-level semantic information. However, due to the complex background in video, it is of great difficulty to extract text efficiently. Although many methods hold assumptions on single feature, such as texture, connected areas etc., there are still some problems in dealing with multilingual text extraction because of its quite different appearance. In this paper, the color and...
We present a region-based active contour detection algorithm for objects that exhibit relatively homogeneous photometric characteristics (e.g. smooth color or gray levels), embedded in complex background clutter. Current methods either frame this problem in Bayesian classification terms, where precious modeling resources are expended representing the complex background away from decision boundaries,...
License plate recognition systems have been used extensively for many applications. In order to recognize a license plate efficiently, however, the location of the license plate must be detected in the first place. In our method, the car image first is divided into a set of 5??5 non-overlapping block and a local direction is defined for each block. The M??N car image is converted to a direction image...
This paper presents a new method for performing combined demosaicking and watermarking (CDW). First, a mosaic image from a single-sensor digital camera is set as input. While an edge-directed interpolation is being performed, a new approach for watermarking is used simultaneously. Combining these two processes will lead in economizing in both time and power, which play a substantial role in digital...
Text in scene images can provide very useful as well as vital information and hence, its detection and recognition is an important task. We propose an adaptive edge-based connected-component method for text-detection in natural scene images. The approach is based on three reasonable assumptions - (i) characters of a particular word are locally aligned in a certain direction (ii) each character is...
This paper presents a supervised foreground segmentation method that uses local and global feature similarity with edge constraint. This framework integrates and extends the notion of region growing and classification to deal with local and global fitness. It parameterizes constraint of growing using Chebyshev's inequality. The constraint is used to stop segmentation before matting. Matting relies...
The objective of this research is to develop an automatic and efficient news video indexing and management system based on the characteristics of the structure of a complete TV news video in Taiwan. We first employed two features which include the Normalized Color Histogram Intersection of Quantized Hue and Edge Exchanging Ratio to detect the shot boundaries and to segment the corresponding shots...
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