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Time series data mining has gained increasing attention in health domain. Recently, researchers attempt to employ Natural Language Processing (NLP) to health data mining, in order to learn proper representations of discrete medical concepts from Electronic Health Records (EHRs). However, existing models do not take continuous physiological records into account, which are naturally existed in EHRs...
Content-based image retrieval represents images as N-dimensional feature vectors. Similar image retrieval is computed over these high dimensional feature vectors. A sequential scan of the feature vectors for a query method is costly for a large number of images when N is high. The search time and search space can be reduced through indexing the data. In this paper we proposed a hierarchical clustering...
This paper provides a Web content-based image searching engine based on SIFT (Scale Invariant Feature Transform) feature matching. SIFT descriptors, which are invariant to image scaling and transformation and rotation, and partially invariant to illumination changes and affine, present the local features of an image. Therefore, feature keypoints can be extracted more accurately by using SIFT than...
Present video retrieval methods have many problems. To solve these problems, a new video retrieval algorithm base on the combination of video spatio-temporal feature curves and key frames 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...
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...
This paper provides a novel content-based image retrieval algorithm based on ROI (Region Of Interest) by using SIFT (Scale Invariant Feature Transform) feature matching. SIFT descriptors, which are invariant to image scaling and transformation and rotation, and partially invariant to illumination changes and affine, present the local features of an image. Therefore, feature keypoints can be extracted...
Video key frame extraction is a type of video abstraction, which is one of the key problems in video content indexing and retrieval. Key frame extraction aims at finding a small collection of salient images extracted from a video sequence for visual content summarization. In this paper we propose a video key frame extraction method based on spatial-temporal color distribution. First we construct a...
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