Sampling is an important preprocessing algorithm that is used to mine large data efficiently. Although a simple random sample often works fine for reasonable sample size, accuracy falls sharply with reduced sample siz...
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The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image classification, adaptation, compressi...
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This paper presents a new method for extracting semantic information from basketball video. Our approach consists of three stages: shot and scene boundary detection, scene classification and semantic video analysis fo...
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MPEG-7 is a promising standard for the description of multimedia content. A lot of applications based on MPEG-7 media descriptions have been set up. Therefore, an efficient storage solution for large amounts of MPEG-7...
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In this paper, we present a new classification scheme based on Support Vector Machines (SVM) and a new texture feature, called texture correlogram, for high-level image classification. Originally, SVM classifier is de...
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Detecting visually attentive regions of an image is a challenging but useful issue in many multimedia applications. In this paper, we describe a method to extract visual attentive regions in images using subspace esti...
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In this paper, we present a method of semantic knowledge building for image database by extracting semantic meanings from Web page contents. The novelty of our method, is that it is able to effectively extract media w...
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Visual attention is obtained through determination of contrasts of low level features or attention cues like intensity, color etc. We propose a new texture attention cue that is shown to be more effective for images w...
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An audio event refers to some specific audio sound which plays important role for video content analysis. In our previous work [3], we have established audio event identification as an audio classification task. Due t...
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In this paper, a novel algorithm with overall advantages for bluetooth scatternet formation is presented. The proposed algorithm achieves the following desirable properties. Firstly, our algorithm comprehensively thin...
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