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Detecting and segmenting moving object is an important subject in computer visual analysis. Firstly, the algorithms of detecting moving target from static background in video sequences are discussed in this paper. Secondly, as the inter-frame subtraction can't detect moving object accurately and mixture Gaussian models can't solve the problems such as ghost, shadow and real-time application, a new...
Present video retrieval methods have many problems. To solve these problems, a new video retrieval algorithm base on video spatio-temporal feature curves is proposed in this paper. In this new algorithm, the feature curves are extracted from the video, and then two videos' feature curves are compared to determine whether they have the same content or not. In the comparing process, to solve the problems...
In order to solve the problem of content-based image retrieval, this paper defines a new concept of information entropy shift, and proposes a novel image retrieval algorithm based on it. The Information Entropy Shift is defined as the changes of Information Entropy in one direction; it not only describes the statistical feature of an image, but also reflects the spatial information distribution. On...
With the development of Multimedia Network Technology and the rapid increase of image application, Content-based Image Retrieval (CBIR) becomes the most active one in multimedia information retrieval field. One of the key issues is how to construct effective organization and index to enhance image retrieval speed. Clustering is a kind of effective method. This paper presents a modified fuzzy C-means...
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