2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)最新文献_第10页

Analysis of Desktop Search and Ranking of Their Results Based on Semantics from User Feedback 基于用户反馈语义的桌面搜索分析及结果排序

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.46

M. S. Raje

引用次数: 2

The Forensic Algorithm on Facebook Using Natural Language Processing 使用自然语言处理的Facebook取证算法

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.103

M. Ketcham, Thittaporn Ganokratanaa, Sasiprapa Bansin

引用次数: 12

A Participatory Digital Platform for Cultural Heritage within Smart City Environments 智慧城市环境下的参与式文化遗产数字平台

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.71

Zois Koukopoulos, D. Koukopoulos

{"title":"A Participatory Digital Platform for Cultural Heritage within Smart City Environments","authors":"Zois Koukopoulos, D. Koukopoulos","doi":"10.1109/SITIS.2016.71","DOIUrl":"https://doi.org/10.1109/SITIS.2016.71","url":null,"abstract":"Cultural heritage applications within smart city environments are becoming extremely popular to public authorities. The success of such applications lies on several factors like user-friendliness and data presentation as well as the amount and accuracy of cultural data they can offer to users, static or mobile, on-demand. This paper presents the design and implementation of a multipurpose, multidiscipline digital platform that manages, preserves and disseminates tangible and intangible cultural heritage information, appropriate for the everyday use in smart city digital environments. The platform aims to become a participatory system that addresses not only to experts of cultural heritage and artists, but also amateurs and enthusiasts of cultural heritage. This vast and heterogeneous user base could be the only feasible way to support such data-hungry ecosystems, by providing cultural information at any time and place. The platform integrates a mobile services module that can host and support smartphone applications for the direct collection, digitization and presentation of cultural heritage content.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121404172","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: 5

Mutual Information Based Multispectral Image Fusion for Improved Face Recognition 基于互信息的多光谱图像融合改进人脸识别

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.19

Ramachandra Raghavendra, S. Venkatesh, K. Raja, F. A. Cheikh, C. Busch

{"title":"Mutual Information Based Multispectral Image Fusion for Improved Face Recognition","authors":"Ramachandra Raghavendra, S. Venkatesh, K. Raja, F. A. Cheikh, C. Busch","doi":"10.1109/SITIS.2016.19","DOIUrl":"https://doi.org/10.1109/SITIS.2016.19","url":null,"abstract":"Multispectral face images captured in more than one spectra is known to provide reliable person verification, especially in varying illumination conditions. In this paper, we present an extended multi-spectral face recognition framework by combining the face images captured in six different spectra consisting of 425nm,475nm,525nm,570nm,625nm, and 680nm. We propose a novel image fusion scheme that combines the information from different spectrum of multispectral face images. The proposed image fusion scheme first selects two images from set of all spectral images based on the highest information quantified using entropy measure. Two selected images are combined by decomposing them using Discrete Wavelet Transform (DWT) to get the sub-bands that are fused using weighted sum rule. The weights are computed automatically on each of these sub-bands by measuring the dependency using correlation and wavelet energy. Extensive experiments are carried out on a newly constructed exclusive multispectral face database using a commercial multispectral sensor SpectraCamTM from Pixelteq company. Extensive experiments are carried out on our database to present both qualitative and quantitative results of the proposed image fusion scheme. The comprehensive comparative analysis is performed by comparing the performance of the proposed scheme with four different state-of-the-art schemes. The obtained results have justified the efficacy of the proposed system for robust multispectral face recognition.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126310828","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: 6

Biometric Spoofing Detection by a Domain-Aware Convolutional Neural Network 基于域感知卷积神经网络的生物特征欺骗检测

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.38

Diego Gragnaniello, Carlo Sansone, G. Poggi, L. Verdoliva

{"title":"Biometric Spoofing Detection by a Domain-Aware Convolutional Neural Network","authors":"Diego Gragnaniello, Carlo Sansone, G. Poggi, L. Verdoliva","doi":"10.1109/SITIS.2016.38","DOIUrl":"https://doi.org/10.1109/SITIS.2016.38","url":null,"abstract":"Biometric authentication systems are pervasive in modern society, but they are quite vulnerable to spoofing attacks. Research on spoofing (or liveness) detection is therefore very active. A number of methods have been proposed in the literature, sometimes with very promising results, but limited robustness with respect to the large variety of biometric traits, sensors, and attacks encountered in real-life. Recently, methods based on Convolutional Neural Networks (CNNs) are drawing great attention, given their success in many other image processing tasks. However, despite some promising results, they seem to suffer the same robustness problem, requiring heavy training to work properly. Here, we propose a new CNN architecture for biometric spoofing detection. Thanks to domain-specific knowledge, accounted for through a suitable loss function, a compact architecture is obtained, allowing reliable training also in the presence of small-size datasets. Experiments prove the proposal to provide state-of-art performance on several widespread datasets for face and iris liveness detection.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121341174","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: 22

An Agent-Based Semantic Search Engine in Companies 企业中基于代理的语义搜索引擎

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.96

Arda Icmez, I. Lahoud, D. Monticolo

引用次数: 1

Characterizing Non-Defeated Repairs in Inconsistent Lightweight Ontologies 表征不一致轻量级本体中的非失败修复

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.53

S. Benferhat, Zied Bouraoui, Huma Chadhry, Mohd Shafry Bin Mohd Rahim Fc, Karim Tabia, Abdelmoutia Telli

引用次数: 5

A Face Recognition Approach Based on Nearest Neighbor Interpolation and Local Binary Pattern 基于最近邻插值和局部二值模式的人脸识别方法

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.21

Josky Aïzan, E. C. Ezin, C. Motamed

引用次数: 3

An Approach for the Evaluation of Sleeping Behaviors Disorders in Patients with Cognitive Diseases: A Case Study 认知疾病患者睡眠行为障碍的评估方法:个案研究

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.92

A. Coronato, Giovanni Paragliola

引用次数: 2

Extensible Architecture for Multimodal Information Retrieval in Medical Imaging Archives 医学影像档案中多模态信息检索的可扩展体系结构

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.58

Eduardo Pinho, C. Costa

引用次数: 4