2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)最新文献_第5页

Labeling Agreement Level and Classification Accuracy 标签协议水平和分类准确性

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.51

Amal Abdullah Al Mansour

引用次数: 2

Security Issues in Cloud Computing and Associated Alleviation Approaches 云计算中的安全问题及相关缓解方法

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.125

Hamza Hammami, H. Brahmi, Imen Brahmi, S. Yahia

{"title":"Security Issues in Cloud Computing and Associated Alleviation Approaches","authors":"Hamza Hammami, H. Brahmi, Imen Brahmi, S. Yahia","doi":"10.1109/SITIS.2016.125","DOIUrl":"https://doi.org/10.1109/SITIS.2016.125","url":null,"abstract":"Cloud computing is the fruit of recent developments in information technology, it provides access to many online services as well as remote computing resources as needed. To be more specific, cloud computing stands today as a satisfactory answer to the problem of storage and computing of data encountered by companies. It provides treatment and accommodation of their digital information via a fully outsourced infrastructure. The latter enables users to benefit from many online services without worrying about the technical aspects of their use. In the meanwhile, it limits costs generated by the management of these data. However, this advanced technology has immediately highlighted many serious security troubles. The major issue that prevents many companies to migrate to the cloud is the security of sensitive data hosted in the provider. Actually, the security problem related to this technology has slowed their expansion and restricted in a severe way their scope. The work in this paper deals to present a literature review of data security approaches for cloud computing, and evaluates them in terms of how well they support critical security services and what level of adaptation they achieve.","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":"114753545","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

SentiWordNet for New Language: Automatic Translation Approach 面向新语言的SentiWordNet:自动翻译方法

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.57

Alaettin Uçan, Behzad Naderalvojoud, E. Sezer, H. Sever

{"title":"SentiWordNet for New Language: Automatic Translation Approach","authors":"Alaettin Uçan, Behzad Naderalvojoud, E. Sezer, H. Sever","doi":"10.1109/SITIS.2016.57","DOIUrl":"https://doi.org/10.1109/SITIS.2016.57","url":null,"abstract":"This paper proposes an automatic translation approach to create a sentiment lexicon for a new language from available English resources. In this approach, an automatic mapping is generated from a sense-level resource to a wordlevel by applying a triple unification process. This process produces a single polarity score for each term by incorporating all sense polarities. The major idea is to deal with the sense ambiguity during the lexicon transfer and provide a general sentiment lexicon for languages like Turkish which do not have a freely available machine-readable dictionary. On the other hand, the translation quality is critical in the lexicon transfer due to the ambiguity problem. Thus, this paper also proposes a multiple bilingual translation approach to find the most appropriate equivalents for the source language terms. In this approach, three parallel, series and hybrid algorithms are used to integrate the translation results. Finally, three lexicons are achieved for the target language with different sizes. The performance of three lexicons is evaluated in the lexicon-based sentiment classification task and compared with the results achieved by the supervised approach. According to experimental results, the proposed approach can produce reliable sentiment lexicons for the target language.","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":"116997361","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: 13

Action Recognition for Videos by Long-Term Point Trajectory Analysis with Background Removal 基于去除背景的长期点轨迹分析的视频动作识别

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.13

Yuze Xiang, Y. Okada, Kosuke Kaneko

引用次数: 4

The Study Analysis Knee Angle of Color Set Detection Using Image Processing Technique 基于图像处理技术的颜色集检测膝角分析研究

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.109

Patiyuth Pramkeaw

引用次数: 2

An Enhanced Video Super Resolution System Using Group-Based Optimized Filter-Set with Shallow Convolutional Neural Network 基于分组优化滤波集的浅卷积神经网络增强视频超分辨率系统

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.59

Sangchul Kim, J. Nang

{"title":"An Enhanced Video Super Resolution System Using Group-Based Optimized Filter-Set with Shallow Convolutional Neural Network","authors":"Sangchul Kim, J. Nang","doi":"10.1109/SITIS.2016.59","DOIUrl":"https://doi.org/10.1109/SITIS.2016.59","url":null,"abstract":"Scaling up video resolution has conventionally been achieved via linear interpolation, however this method occasionally introduces blurring to the output. Super-resolution (SR), an approach to preserve image quality in enlarged still images, has been exploited as a substitute for linear interpolation, however, the output at times exhibits image qualities worse than what linear interpolation produces primarily because the initial goal of SR is preservation of image quality when a still image is enlarged. In this context, this paper proposes a fast-performance adaptive system for scaling-up other resolutions like X2 using X3 model or X3 using X2 model by (1) first grouping frames that would use similar filter sets (2) then conducting fine-tuning of shallow CNN for SR on each frame group. Filter sets fine-tuned for each group resulted in significantly improved PSNR over either linear interpolation or conventional SR in our experiment. In the fine-tuning stage for each group, 0.5K to 2.5K iterations were sufficient to improve PSNR by 10%. By fine-tuning instead of performing full training, the number of sufficient iterations was reduced from 3,000K to mere 0.5K to 2.5K.","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":"124234533","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: 0

An Incremental Two-Dimensional Principal Component Analysis for Image Compression and Recognition 一种用于图像压缩与识别的增量二维主成分分析

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.121

H. Nakouri, M. Limam

引用次数: 7

Design of Electronic Ticket System for Smart Tourism 智能旅游电子票务系统的设计

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.82

Anouar Dalli, S. Bri

引用次数: 10

Stratify Mobile App Reviews: E-LDA Model Based on Hot "Entity" Discovery 分层手机应用评论:基于热门“实体”发现的E-LDA模型

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.97

Y. Liu, Yanwei Li, Yanhui Guo, Miao Zhang

{"title":"Stratify Mobile App Reviews: E-LDA Model Based on Hot \"Entity\" Discovery","authors":"Y. Liu, Yanwei Li, Yanhui Guo, Miao Zhang","doi":"10.1109/SITIS.2016.97","DOIUrl":"https://doi.org/10.1109/SITIS.2016.97","url":null,"abstract":"Recent literatures have illustrated approaches that can automatically extract informative content from noisy mobile app reviews, however the key information such as feature requests, bug reports etc., retrieved by these methods are still mixed and what users really care about the app remains unknown to developers. In this paper we propose a novel model SAR: Stratify App Reviews, providing developers information about users' real reaction toward apps. SAR stratifies informative reviews into different layers, grouping the reviews based on what users concern, and we also develop a method to compute the user general sentiment on each entity. The model performs user-oriented analytics from raw reviews by (i) first extracting entities from each review, identifying hot entities of the app that users mostly care about, (ii) then stratifying all the reviews into different layers according to hot entities with a four-layer Bayes probability method, (iii) and finally computing user sentiments on hot entities. We conduct experiments on three genres of apps i.e. Games, Social, and Media, the result shows that SAR could identify different hot entities with respect to the specific categories of apps, and accordingly, it can stratify relevant reviews into different layers, the sentiment value of each entity can also represent users' satisfaction well, we also compared the result with human analysis, with the similar accuracy, the SAR can speed up the overall analysis automatically. Our model can help developers quickly understand what entities of the app users mostly care about, and how do they react to these entities.","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":"130895271","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

Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis 活动的纹理:利用加速度计数据分析的局部二进制模式

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 1900-01-01 DOI: 10.1109/SITIS.2016.29

Tunç Aşuroğlu, K. Açıcı, Ç. Erdaş, H. Oğul

引用次数: 5