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Video segmentation is a crucial pass to content-based video summarization and retrieval. In this paper, we present a practical method to efficiently group video content into semantic segments. First we detect shots with double-threshold method to find raw shots quickly, followed by redundant frames removal though spatial color distribution to get the key frames. Finally, we cluster the key frames...
Considering traditional watershed segmentation has a serious over-segmentation problem and marker-based watershed segmentation has a great difficulty in marker extraction, we proposed the improved watershed segmentation with optimal scale based on ordered dither halftone and mutual information. We made some improvements on marker-based watershed segmentation. Firstly, according to vision characteristics...
Robust and accurate handwritten character segmentation is the essential step for automatic Uighur word recognition on mobile phone. However, it's a hard work to do character segmentation due to Uighur's cursive style and other characteristics. In this paper, a hybrid multiple feature cooperation based algorithm is presented, the main characteristics of the proposed approach include: (1) A multi-feature...
The color vision systems require a first step of classifying pixels in a given image into a discrete set of color classes. In this paper we introduce a new method of algorithm partitioning, and color image segmentation based on similarities or dissimilarities of the pixels. We consider fuzzy segmentation with Markov, and normalized cut method. Experiments show these different processes used an effective...
The vision information of Web page is applied for information extraction, which avoids using the sophisticate natural language processing technology. This paper combines the natural language processing technology with vision character of HTML page in the application of information extraction for Web page, we carried out relevant research. We propose a Web Page Information extraction algorithm based...
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