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Chain graph (CG) is a hybrid probabilistic graphical model (PGM) capable of modeling heterogeneous relationships among random variables. So far, however, its application in image and video analysis is very limited due to lack of principled learning and inference methods for a CG of general topology. To overcome this limitation, we introduce methods to extend the conventional chain-like CG model to...
The story-related subject caption (SSC) in broadcast news video expresses the subject of news story, and plays an important role in news story segmentation and news video indexing. We find that a SSC always has a strip background and all the SSCs in one news video have the same style. By taking advantage of these characters, this paper presents an unsupervised approach to detect SSCs in broadcast...
Text extraction from images with complex backgrounds remains a challenging problem. Existing thresholding methods succeed in extracting text from images with simple or slowly varying backgrounds. However, when the backgrounds include sharply varying contours, some background pixels, which have similar intensities to the text, are classified to the text pixels in the binary image. In the literature,...
In a digital media asset management system, TV program segmentation is a key step for the long videos recorded from television channels to be represented in the hierarchical structure. In this paper, a novel approach based on acoustic cues for automatic segmenting television stream into individual programs is proposed. This presented method is composed of the following steps: (1) Several sets of repetitions...
To precisely segment Chinese characters in images and videos, we propose a novel recognition-based method in this paper. Our method consists of four steps: 1) Original text image is binarized to get a binary image; 2) Use a horizontal projection profile of the binary image to estimate the width of the bounding box of Chinese character; 3) Combined with character recognizer, use a vertical projection...
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