2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)最新文献_第4页

Presentation Attack Detection in Face Biometric Systems Using Raw Sensor Data from Smartphones 使用智能手机原始传感器数据的面部生物识别系统中的呈现攻击检测

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.25

P. Wasnik, K. Raja, Ramachandra Raghavendra, C. Busch

{"title":"Presentation Attack Detection in Face Biometric Systems Using Raw Sensor Data from Smartphones","authors":"P. Wasnik, K. Raja, Ramachandra Raghavendra, C. Busch","doi":"10.1109/SITIS.2016.25","DOIUrl":"https://doi.org/10.1109/SITIS.2016.25","url":null,"abstract":"Applicability of the face recognition for smartphone-based authentication applications is increasing for different domains such as banking and e-commerce. The unsupervised data capture of face characteristics in biometric applications on smartphones presents the vulnerability to attack the systems using artefact samples. The threat of presentation attacks (a.k.a spoofing attacks) need to be handled to enhance the security of the biometric system. In this work, we present a new approach of using the raw sensor data. We first obtain the residual image corresponding to noise by subtracting the median filtered version of raw data and then computing simple energy value to detect the artefact based presentations. The presented approach uses simple threshold and thereby overcomes the need for learning complex classifiers which are challenging to work on unseen attacks. The proposed method is evaluated using a newly collected database of 390 live presentation attempts of face characteristics and 1530 attack presentations consisting of electronic screen attacks and printed attacks on the iPhone 6S smartphone. Significantly lower average classification error (","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123522499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

A Recommender System as a Support and Training Tool 作为支持和培训工具的推荐系统

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.127

Ilaria Torre, Simone Torsani

引用次数: 5

A Modular Rule-Based Visual Interactive Creation of Tree-Shaped Geo-Located Networks 基于模块化规则的树形地理定位网络可视化交互创建

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.69

Felix Brodkorb, Manuel Kopp, Arjan Kuijper, T. V. Landesberger

引用次数: 4

A Context-Aware Smart Parking System 情景感知智能停车系统

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.76

S. Biondi, Salvatore Monteleone, G. L. Torre, V. Catania

{"title":"A Context-Aware Smart Parking System","authors":"S. Biondi, Salvatore Monteleone, G. L. Torre, V. Catania","doi":"10.1109/SITIS.2016.76","DOIUrl":"https://doi.org/10.1109/SITIS.2016.76","url":null,"abstract":"Finding a parking slot is a process very stressful for a person who would like to reach a specific place. It could be considered also expensive since it often causes an increasing of traffic with a consequent increase of pollution. In this paper, we present a smart parking system that helps users to reach a free parking slot, in a small area or a city, using context-aware information to help in the process. The proposed solution does not require an existing infrastructure of sensors spread in parking areas since it exploits the potential of modern smartphones with their capability of recognizing user activity and position. This solution introduces an algorithm which compares routes of different drivers to find relations among them. A mechanism based on Bluetooth Low Energy Advertising (BLE Advertising) is then adopted to detect passengers and reduce the bias that would be introduced by the arrival of multiple users in the same parking area. To test the system we developed an application prototype that enables the gathering of contextual information and displays through a map an approximate distribution of free parking areas close to the user's position. A series of tests were performed to evaluate the system to estimate the advantages of a sensors-less architecture.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126182519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Grid's Acquaintance-Based Multiagent Model of Distributed Meta-Scheduling 基于网格熟人的分布式元调度多智能体模型

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.55

V. Kamla, J. E. N. Mboula, Jeremie Serge Wouansi Towo, C. T. Djamégni

引用次数: 0

Scale Invariant Descriptor for Content Based Image Retrieval in Biomedical Applications 生物医学应用中基于内容的图像检索的尺度不变描述符

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.39

N. Brancati, Diego Gragnaniello, L. Verdoliva

{"title":"Scale Invariant Descriptor for Content Based Image Retrieval in Biomedical Applications","authors":"N. Brancati, Diego Gragnaniello, L. Verdoliva","doi":"10.1109/SITIS.2016.39","DOIUrl":"https://doi.org/10.1109/SITIS.2016.39","url":null,"abstract":"Content based image retrieval (CBIR) is an application of computer vision which tackles the problem of recovering images in large datasets based on a similarity criterion. The role of CBIR in biomedical field is potentially very important, since every day large volumes of different types of images are produced. An effective and reliable CBIR system can help the decision-making process and support the diagnosis made by the clinician, thanks to the possibility to analyze images similar to the one under test. Many successful CBIR systems use features based on local descriptors for image retrieval. In this work, a Bag-of-Words encoding paradigm based on the Scale Invariant Descriptor (SID) is used to extract robust features from the images. For the evaluation of the proposed technique, three datasets in biomedical field have been used: OASIS, which is an MRI dataset, Emphysema and NEMA, which are instead CT datasets. In order to evaluate the effectiveness and the reliability of the proposed technique also in other application fields, some experiments have been carried out on the ORL facial image dataset, used for biometric applications. The results show that the proposed technique outperforms or is comparable to state-of-art CBIR techniques.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130075804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Performance Review of a Multi-Layer Feed-Forward Neural Network and Normalized Cross Correlation for Facial Expression Identification 多层前馈神经网络和归一化相互关在面部表情识别中的性能评价

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.43

Latifa Greche, N. Es-Sbai, E. Lavendelis

引用次数: 1

Group Formation with Incomplete Profiles 具有不完整概况的群体形成

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.122

Zied Ben Othmane, A. Hadjali

引用次数: 1

WaComM: A Parallel Water Quality Community Model for Pollutant Transport and Dispersion Operational Predictions 一种用于污染物迁移和扩散预报的平行水质群落模型

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.120

R. Montella, D. Luccio, P. Troiano, A. Riccio, A. Brizius, Ian T Foster

{"title":"WaComM: A Parallel Water Quality Community Model for Pollutant Transport and Dispersion Operational Predictions","authors":"R. Montella, D. Luccio, P. Troiano, A. Riccio, A. Brizius, Ian T Foster","doi":"10.1109/SITIS.2016.120","DOIUrl":"https://doi.org/10.1109/SITIS.2016.120","url":null,"abstract":"Accurate prediction of trends in marine pollution is strategic, given the negative effects of low water quality on human marine activities. We describe here the computational and functional performance evaluation of a decision making tool that we developed in the context of an operational workflow for food quality forecast and assessment. Our Water Community Model (WaComM) uses a particle-based Lagrangian approach relying on tridimensional marine dynamics field produced by coupled Eulerian atmosphere and ocean models. WaComM has been developed matching the hierarchical parallelization design requirements and tested in Intel X86_64 and IBM P8 multi core environments and integrated in FACE-IT Galaxy workflow. The predicted pollutant concentration and the amount of pollutants accumulated in the sampled mussels are compared in search of coherent trends to prove the correct model behaviour. In the case study shown in this paper, the predicted Lagrangian tracers, acting as pollutant concentration surrogates, tend to spread rapidly and undergo rapid dilution as expected depending on dominant water column integrated currents.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122707595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 28

Automated Test Assembly with Minimum Redundant Questions Based on Bee Algorithm 基于Bee算法的最小冗余题自动测试装配

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.108

Vorapon Luantangsrisuk, Pokpong Songmuang, R. Kongkachandra

引用次数: 4