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17th International Symposium on High Performance Distributed computing 2008, HPDC'08

作者： Ganguly, Arijit Oscar Boykin, P. Wolinksky, David I. Figueiredo, Renato J. Advanced Computing and Information Systems Laboratory University of Florida Gainesville FL 32611 United States

ISBN: (纸本)9781595939975

Self-configuring virtual networks rely on structured P2P routing to provide seamless connectivity among nodes through overlay routing of virtual IP packets, support decentralized hole-punching to establish bi-directional communication links among nodes behind network address translators, and dynamic configuration of virtual IP addresses. Our experiences with deployments of virtual networks in support of wide-area overlays of virtual workstations (WOWs) reveal that connectivity constraints imposed by symmetric NATs and by Internet route outages often hinder P2P overlay structure maintenance and routability, subsequently limiting the ability of WOWs to deliver high-throughput computing through aggregation of resources in different domains. In this paper, we describe and evaluate two novel approaches which are generally applicable and fully decentralized, and show that they improve routability of structured P2P networks in such connectivity constrained environments: (1) a fault-tolerant routing algorithm based on simulated annealing from optimization theory, and (2) tunneling of connections between adjacent nodes (in the P2P identifier space) over common neighbors when direct communication is not possible. Simulation-based analyses show that when pairs of nodes only have 70% chance of being able to communicate directly, the described approaches improve all-to-all routability of the network horn 90% to 99%. We have implemented these techniques in the IP-over-P2P (IPOP) virtual network and have conducted experiments with a 80-node WOW Condor pool, demonstrating that, at 81% probability of establishing a pair-wise connection, annealing and tunneling combined allow all nodes to be connected to the pool, compared to only 160 nodes in the absence of these techniques. Copyright 2008 ACM.

关键词： Simulated annealing

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AViTExt: Automatic Video Text Extraction: A new Approach for video content indexing Application

AViTExt: Automatic Video Text Extraction: A new Approach for...

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3rd International Conference on information and Communication Technologies, vol.2

作者： Baseem Bouaziz Tarek Zlitni Walid Mahdi Multimedia Information systems and Advanced Computing Laboratory Sfax Tunisia

In this paper, we propose a spatial temporal video-text detection technique which proceed in two principal steps: potential text region detection and a filtering process. In the first step we divide dynamically each pair of consecutive video frames into sub block in order to detect change. A significant difference between homologous blocks implies the appearance of an important object which may be a text region. The temporal redundancy is then used to filter these regions and forms an effective text region. The experimentation driven on a variety of video sequences shows the effectiveness of our approach by obtaining a 89,39% as precision rate and 90,19 as recall.

关键词： Component Video indexing and browsing Spatiotemporal approach Text extractin Non compressed video Multiple-frame

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Interest Points Analysis for Internet Forum Based on Long-Short Windows Similarity

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Computers, Materials & Continua 2022年第8期72卷 3247-3267页

作者： Xinghai Ju Jicang Lu Xiangyang Luo Gang Zhou Shiyu Wang Shunhang Li Yang Yang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001China School of Computing and Information Systems Singapore Management University188065Singapore College of Computer Science and Big Data Fuzhou UniversityFuzhou350116China

For Internet forum Points of Interest(PoI),existing analysis methods are usually lack of usability analysis under different conditions and ignore the long-term variation,which lead to blindness in method *** address this problem,this paper proposed a PoI variation prediction framework based on similarity analysis between long and short *** on the framework,this paper presented 5 PoI analysis algorithms which can be categorized into 2 types,i.e.,the traditional sequence analysis methods such as autoregressive integrated moving average model(ARIMA),support vector regressor(SVR),and the deep learning methods such as convolutional neural network(CNN),long-short term memory network(LSTM),Transformer(TRM).Specifically,this paper firstly divides observed data into long and short windows,and extracts key words as PoI of each ***,the PoI similarities between long and short windows are calculated for training and ***,series of experiments is conducted based on real Internet forum *** results show that,all the 5 algorithms could predict PoI variations well,which indicate effectiveness of the proposed *** the length of long window is small,traditional methods perform better,and SVR is the *** the contrary,the deep learning methods show superiority,and LSTM performs *** results could provide beneficial references for PoI variation analysis and prediction algorithms selection under different parameter configurations.

关键词： Point of interest(PoI)analysis long and short windows sequential analysis deep learning

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Hand pose estimation system based on combined features for mobile devices

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International Journal of Intelligent information and Database systems 2020年第2-4期13卷 436-453页

作者： Lahiani, Houssem Neji, Mahmoud National School of Electronics and Telecommunications University of Sfax Tunisia Faculty of Economics and Management University of Sfax Tunisia Multimedia Information Systems and Advanced Computing Laboratory Technopark of Sfax Tunis Road 10 km P.O. Box 242 SFAX 3021 Tunisia

Today's mobile devices or smartphones have a revolutionary impact on how we communicate, especially after the advent of devices like smart watches and Google glasses that require new ways to interact with them. To optimise the use of mobile devices, special input and output peripherals have been designed over the years to facilitate communication with them. The well known peripherals are the multi-touch screens. Smartphones are too small to work freely using their input screens. To solve this problem, recent research has focused on contactless and natural gestural interfaces. In this context, we propose a hand gesture recognition system for mobile devices as a simple way of communication with smartphones. In this work, we describe a hand gesture recognition system for Android devices based on a combination of HOG and LBP features and the SVM classifier. An accuracy rate of about 95% is obtained on the improved 'NUS database I'. In addition, we conduct experiments on different Android devices to know the impact of using such a recognition task on embedded systems like smartphones. © 2020 Inderscience Enterprises Ltd.

关键词： Gesture recognition

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3D Ear Shape Matching Using Joint -Entropy

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Journal of Computer Science & Technology 2015年第3期30卷 565-577页

作者：孙晓鹏李思慧韩枫魏小鹏 Institute of Computer Systems School of Computer and Information Technology Liaoning Normal University Dalian 116029 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing 100876 China School of Mechanical and Engineering Dalian University of Technology Dalian 116024 China Key Laboratory of Advanced Design and Intelligent Computing Dalian University Dalian 116622 China

In this article, we investigate the use of joint a-entropy for 3D ear matching by incorporating the local shape feature of 3D ears into the joint a-entropy. First, we extract a sut^cient number of key points from the 3D ear point cloud, and fit the neighborhood of each key point to a single-value quadric surface on product parameter regions. Second, we define the local shape feature vector of each key point as the sampling depth set on the parametric node of the quadric surface. Third, for every pair of gallery ear and probe ear, we construct the minimum spanning tree （MST） on their matched key points. Finally, we minimize the total edge weight of MST to estimate its joint a-entropy the smaller the entropy is, the more similar the ear pair is. We present several examples to demonstrate the advantages of our algorithm, including low time complexity, high recognition rate, and high robustness. To the best of our knowledge, it is the first time that, in computer graphics, the classical information theory of joint a-entropy is used to deal with 3D ear shape recognition.

关键词： joint a-entropy minimum spanning tree local shape feature ear matching ear recognition

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Metamaterial absorbers realized in an X-band rectangular waveguide

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Chinese Physics B 2012年第11期21卷 474-478页

作者：黄勇军文光俊李建钟靖平王平孙元华 O.Gordon 朱卫仁 Key Laboratory of Broadband Optical Fiber Transmission&Communication Networks School of Communication and Information EngineeringUniversity of Electronic Science and Technology of China Advanced Computing and Simulation Laboratory(AχL) Department of Electrical and Computer Systems EngineeringMonash University

In this paper, we demonstrate six types of metamaterial absorbers （MMAs） by measuring their absorptivities in an X-band （8 12 GHz） rectangular waveguide. Some of the MMAs have been demonstrated previously by using the free space measurement method, and the others are proposed firstly in this paper. The measured results show that all of the six MMAs exhibit high absorptivities above 98%, which have similar absorbing characteristics to those measured in the free space. The numerically obtained surface current densities for each MMA show that the absorbing mechanism is the same as that under the free space conditions. Such a demonstration method is superior to the conventional free space measurement method due to the small-scale test samples required, the simple measure device, and its low cost. Most importantly, the proposed method opens a way to enable MMAs to be used in microwave applications such as matched terminations.

关键词： metamaterial absorber electric resonator rectangular waveguide

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Abstracts generation as information retrieval results

Abstracts generation as information retrieval results

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ACS/IEEE International Conference on Computer systems and Applications

作者： Mounira Chkiwa Anis Jedidi Faiez Gargouri Multimedia InfoRmation systems and Advanced Computing Laboratory Sfax University Tunisia

In this paper, we present a new variant to show results of information retrieval process. Search results proposed here are in the form of textual abstract instead of returning a list of links pointing to relevant web documents. Our current work materializes collaboration between two independent axes: Semantic Web and Fuzzy Logic. The automatic abstract generation represents an extension of our previous works aimed to create an information retrieval system dedicated for kids.

关键词： Semantics Ontologies information retrieval Fuzzy logic Fuzzy sets OWL

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20th International Conference on Enterprise information systems, ICEIS 2018

作者： Sebei, Hiba Taieb, Mohamed Ali Hadj Aouicha, Mohamed Ben Computer Science Department Faculty of Economics and Mangement Sfax Tunisia Multimedia InfoRmation Systems and Advanced Computing Laboratory Sfax Tunisia Computer Science Department Faculty of Sciences Sfax Tunisia

ISBN: (纸本)9789897582981

With the spread of online social media websites, a huge amount of online content is continuously provided. However, some contents gain an important attention from users while other contents are completely ignored. This highlights the analysis of popularity relative to different social content. The popularity is expressed through measures and features that act as factors expressing and influencing the popularity. Those features vary from an online social media website to another as it depends on the type of social entity. This paper tries to create a normalized view of the popularity metrics independent of the online social media and in relation with specific social entities that are user and media content (i.e. text, image, and video). We propose a Service Provider Interface (SPI) as a contract between users. The SPI offers a variety of interfaces for implementing services related to the quantification of social entities popularity independently of the online social media they belong to. Copyright © 2018 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Social networking (online)

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Linear operators in information retrieval

Linear operators in information retrieval

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6th Symposium on Languages, Applications and Technologies, SLATE 2017

作者： Hattab, Hawete Mbarek, Rabeb Umm Al-qura University Al-Jumum University College Department of Mathematics Makkah Saudi Arabia Sfax University Multimedia Information Systems and Advanced Computing Laboratory Sfax Tunisia

ISBN: (纸本)9783959770569

In this paper, we propose a pseudo-relevance feedback approach based on linear operators: vector space basis change and cross product. The aim of pseudo-relevance feedback methods based on vector space basis change IBM (Ideal Basis Method) is to optimally separate relevant and irrelevant documents. Whereas the aim of pseudo-relevance feedback method based on cross product AI (Absorption of irrelevance) is to e ectively exploit irrelevant documents. We show how to combine IBM methods with AI methods. The combination methods IBM+AI are evaluated experimentally on two TREC collections (TREC-7 ad hoc and TREC-8 ad hoc). The experiments show that these methods improve previous works. © Hawete Hattab and Rabeb Mbarek

关键词： Vector spaces

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Colour and Geometric based Model for Lip Localisation: Application for Lip-reading System

Colour and Geometric based Model for Lip Localisation: Appli...

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International Conference on Image Analysis and Processing

作者： Salah Werda Walid Mahdi Abdelmajid Ben Hamadou MIRACL: Multimedia Information systems and Advanced Computing Laboratory Higher Institute of Computer Science and Multimedia Sfax Tunisia Multimedia Information systems and Advanced Computing Laboratory Higher Institute of Computer Science and Multimedia Sfax Tunisia

Motivated by humans' ability to lipread, the visual component is considered to yield information in the speech recognition system. The lip-reading is the perception of the speech purely based on observing the talker lip movements. The major difficulty of the lip- reading system is the extraction of the visual speech descriptors. In fact, to ensure this task it is necessary to carry out an automatic localization and tracking of the labial gestures. We present in this paper a new automatic approach for lip and point of interest localization on a speaker's face based both on the color information of mouth and a geometric model of lips. This hybrid solution makes our method more tolerant to noise and artifacts in the image. Experiments revealed that our lip POI localization approach for lip-reading purpose is promising. The presented results show that our system recognizes 94.64 % of French visemes.

关键词： Solid modeling Speech recognition Mouth Lips Data mining Humans Image segmentation Image edge detection multimedia systems multimedia computing

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