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Salient region-based image retrieval is one of the hotspots in the domain of content-based image retrieval; however the metrics about region saliency is not in the uniform frame. The research on visual attention has shown that the factors including color, texture, scale and position influence on visual perception mostly. Consequently, the algorithm of salient region extraction is proposed by using...
In view of the over- and under-segmentation problems existed in the conventional image segmentation based on rough-set theory, an novel color image segmentation approach based on Rough-Set theory is presented in this paper. Firstly, the new distance has been defined by using the vector angle and Euclidean distance. And then according to the new distance, the space binary matrixes that represent the...
In current common research reports, salient regions are usually defined as those regions that could present the main meaningful or semantic contents, However, there are no uniform saliency metrics that could describe the saliency of implicit image regions. Most common metrics take those regions as salient regions, which have many abrupt changes or some unpredictable characteristics. But, this metric...
Shot segmentation is normally the groundwork for video retrieval, and which is one of the most important steps for content-based video retrieval. Although existing research on shot segmentation is more active, it still remains many challenges. In the paper, based on the principle of video compression, a novel shot segmentation algorithm called grid-mapping dynamic window (GMDW) is proposed by using...
Based on rough sets (RS), an effective shot segmentation method is proposed in discrete cosine transform (DCT) compressed domain. First, DCT coefficients and DC coefficients are extracted from video sequences, and an information system is constructed with DC coefficient. Second, information system is reduced by reduction theory of RS, and the representation of the video frames is generated by reduced...
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