To begin with, the semantic web service adaptation is based on the addition of contextual information to this web service description. So the technique of adapting the web service allows the user to establish reusable...
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In this paper, we propose an unmanned aerial vehicle (UAV) enabled multi-stage integrated sensing and communications (ISAC) system, where a multi-antenna equipped UAV performs location sensing for a target whose locat...
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作者:
Zhang, YiXie, YajingWang, LijiaLiwang, MinghuiWang, XianbinXiamen University
Ministry of Education of China Department of Information and Communication Engineering Key Laboratory of Multimedia Trusted Perception and Efficient Computing Xiamen China Tongji University
Shanghai Research Institute for Intelligent Autonomous Systems Department of Control Science and Engineering Shanghai China Western University
Department of Electrical and Computer Engineering ON Canada
Recently, unmanned aerial vehicles (UAVs) and reconfigurable intelligent surfaces (RISs) have merged as important enabling technologies for localization coverage extension and localization accuracy improvement under s...
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Data stream clustering poses many challenges to the data mining community where traditional data mining techniques become infeasible to mine such continuous flow of data. This paper presents a novel method for data st...
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This paper proposes an emotion recognition system based on speech signals in two-stage approach, namely feature extraction and classification engine. Firstly, two sets of feature are investigated which are: the first ...
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The conceptual step in the pervasive adaptation system is mostly aimed at the success of such a system. It is for this reason that the development of a conceptual adaptation system helps developers to implement their ...
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The conceptual step in the pervasive adaptation system is mostly aimed at the success of such a system. It is for this reason that the development of a conceptual adaptation system helps developers to implement their adaptation systems. Accordingly, several categories of contextual information can be presented in a pervasive information system;as such, the network context, the location context, the service context, the application context, the device context, and the person context. Again, a detailed description of each of these contextual information categories allows achieving a better adaptation of the applications to the contexts of use. However, the device context shows the focal point of any information system. In fact, the adaptation of the pervasive informationsystems, when using contexts, rests on the existing physical constraints in this context. In this paper, we present the architecture of adapting the applications to the pervasive system based on the semantic web services. Specifically, we are interested in the adaptation of the device context. The device contextual data are collected by using an Android program. The adaptation rules are also created using the Jena toolkit.
The emergence of the TV channels number and the appearance of the Internet led to an exponential growth of the audiovisual documents. Several works were proposed in the literature for automatic video segmentation. How...
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In this paper, a person identification system has been simulated using electrocardiogram (ECG) signals as biometrics. In this work, we propose a two-phase method to conduct human identification using the ECG signal, w...
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As an affordable and convenient eye scan, fundus photography holds the potential for preventing vision impairment, especially in resource-limited regions. However, fundus image degradation is common under intricate im...
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Text in videos contains much semantic information that can be used for video indexing and browsing. In this paper, we propose a spatiotemporal video-text localization and identification approach which proceeds in two ...
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ISBN:
(纸本)9781605586595
Text in videos contains much semantic information that can be used for video indexing and browsing. In this paper, we propose a spatiotemporal video-text localization and identification approach which proceeds in two main steps: text region localization and text region identification. In the first step we detect the significant appearance of the new objects in a frame by a split and merge processes applied on binarized edge frame pair differences. Detected objects are, a priori, considered as text. They are then filtered according to both local contrast and texture criteria in order to get the effective ones. The resulted text regions are identified based on a visual grammar descriptor containing a set of semantic text class regions characterized by visual features. A visual table of content is generated based on extracted text regions occurring within video sequence enriched by a semantic identification. The experimentation performed on a variety of video sequences shows the efficiency of our. Copyright 2009 ACM.
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